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Check out our recruitment brochure and latest job offers for more information.",{"title":22,"searchDepth":23,"depth":23,"links":664},[],"hidden",[28,29],"\u002Fassets\u002Fmedia\u002Fuploads\u002Fresources\u002Frecruitment-brochure.pdf","\u002Fassets\u002Fmedia\u002Fuploads\u002Frecruitment-brochure","\u002Fassets\u002Fmedia\u002Fuploads\u002Ftechmadeforhumans.png",{"layout":35},"Recruitment Brochure","\u002Fen\u002Fresources\u002Fbrochure-search-made","2019-04-20",{"description":653},"en\u002Fresources\u002Fbrochure-search-made","Come change the world with us",[678],"Brochure","true","xmyrsNIUnAwDhc2bMsVxbMnaEaUOnB04oIH9TiC0q18",{"id":682,"title":683,"body":684,"categories":203,"color":82,"customJs":691,"description":688,"document":692,"extension":31,"image":693,"landingPageImage":694,"meta":695,"name":683,"navigation":39,"path":696,"publishDate":697,"seo":698,"stem":699,"subtitle":700,"tags":701,"verticalForm":45,"__hash__":702},"resources\u002Fen\u002Fresources\u002Fspecial-dates-guide.md","Special Dates Guide",{"type":9,"value":685,"toc":689},[686],[12,687,688],{},"55% of consumers now prefer to shop online and even more so on\nspecial retail dates like Christmas and Black Friday. Our guide explores the\ndifferent types of Special Dates with tips to create more tailored and\ntargeted digital experiences.",{"title":22,"searchDepth":23,"depth":23,"links":690},[],[28,29],"\u002Fassets\u002Fmedia\u002Fuploads\u002Fresources\u002Fspecial-dates-guide.pdf","\u002Fassets\u002Fmedia\u002Fuploads\u002Fspecial-dates-cover.jpg","\u002Fassets\u002Fmedia\u002Fuploads\u002FSpecial-Dates-2019.png",{"layout":35},"\u002Fen\u002Fresources\u002Fspecial-dates-guide","2019-04-14",{"description":688},"en\u002Fresources\u002Fspecial-dates-guide","Capitalise on key retail dates by understanding consumer behaviour",[461,556],"tu4hoIDm1k31-nYGDZnUu4-iel_-9TaKMREwOUpJ38Q",{"id":704,"title":705,"body":706,"categories":178,"color":713,"customJs":714,"description":710,"document":715,"extension":31,"image":716,"landingPageImage":717,"meta":718,"name":705,"navigation":39,"path":719,"publishDate":720,"seo":721,"stem":722,"subtitle":723,"tags":724,"verticalForm":45,"__hash__":725},"resources\u002Fen\u002Fresources\u002Fsearch-use-cases.md","Search Use Cases",{"type":9,"value":707,"toc":711},[708],[12,709,710],{},"Search is the 3rd most important aspect of an eCommerce site so\nit's vital retailers get it right. Our new Search Use Cases provides tips,\nfeatures and illustrations to create more joyful discovery experiences.",{"title":22,"searchDepth":23,"depth":23,"links":712},[],"#fdcb5b",[28,29],"\u002Fassets\u002Fmedia\u002Fuploads\u002Fresources\u002Fsearch-use-cases.pdf","\u002Fassets\u002Fmedia\u002Fuploads\u002Fsearch-use-cases-image.jpg","\u002Fassets\u002Fmedia\u002Fuploads\u002FSearch-Use-Cases-2019.png",{"layout":35},"\u002Fen\u002Fresources\u002Fsearch-use-cases","2019-04-13",{"description":710},"en\u002Fresources\u002Fsearch-use-cases","Get the most out of your site search",[461,556],"yT6O45iAUawYQHc54xsopjHnUhukMbveZgcipeL4474",{"id":727,"title":728,"body":729,"categories":25,"color":251,"customJs":736,"description":733,"document":737,"extension":31,"image":738,"landingPageImage":739,"meta":740,"name":741,"navigation":39,"path":742,"publishDate":743,"seo":744,"stem":745,"subtitle":746,"tags":747,"verticalForm":45,"__hash__":748},"resources\u002Fen\u002Fresources\u002Fcasa-del-libro-case-study.md","Casa Del Libro Case Study",{"type":9,"value":730,"toc":734},[731],[12,732,733],{},"Empathy.co’s expansive adaption of the Casa del Libro Search & Discovery experience started off as a Proof of Concept project that rapidly proved its worth. Everything from implementation of diverse terms and Related Tags to merchandiser-led catalogue management aided in dropping the abandonment rate by 70% and increasing conversion by 45%.",{"title":22,"searchDepth":23,"depth":23,"links":735},[],[28,29],"\u002Fassets\u002Fmedia\u002Fuploads\u002Fresources\u002Fcase-study-empathy.co-casa-del-libro.pdf","\u002Fassets\u002Fmedia\u002Fuploads\u002Fcasa-del-libro-cs-thumbnail.jpg","\u002Fassets\u002Fmedia\u002Fuploads\u002FCasa-del-Libro-Final-2019.png",{"layout":35},"Casa del Libro Case Study","\u002Fen\u002Fresources\u002Fcasa-del-libro-case-study","2019-04-12",{"description":733},"en\u002Fresources\u002Fcasa-del-libro-case-study","Lifting the cover on the leading bookstore's site enhancements",[461,556,362],"-5-O9vtIB6uoszHnHILSee1oIU4vMzGQqjEfhKzXqis",{"posts":750,"total":2074,"limit":2075,"offset":2076,"hasMore":39},[751,773,792,951,1127,1288,1477,1494,1689,1920],{"id":752,"title":753,"author":754,"body":755,"categories":759,"description":760,"extension":31,"image":761,"layout":762,"link":763,"meta":764,"navigation":39,"path":768,"publishDate":769,"seo":770,"stem":771,"subtitle":45,"__hash__":772},"blog\u002Fen\u002Fblog\u002F2026-02-23-ai-mode-the-architectural-shift-behind-conversational-search.md","AI Mode. The architectural shift behind conversational search","luisac@empathy.co",{"type":9,"value":756,"toc":757},[],{"title":22,"searchDepth":23,"depth":23,"links":758},[],"External Reference","Most AI search solutions work as wrappers over external LLM APIs. AI Mode takes a different approach: conversational search running on private cloud infrastructure with self-hosted open-weight models. This architectural choice affects everything from data sovereignty and compliance to pricing predictability and merchandising control. Check it out now!","\u002Fassets\u002Fmedia\u002Fuploads\u002Fai-mode-cont2.png","post","https:\u002F\u002Fdocs.empathy.co\u002Fblog\u002Fai-mode-architectural-difference.html",{"tags":765},[556,766,767],"Engineering","Search","\u002Fen\u002Fblog\u002F2026-02-23-ai-mode-the-architectural-shift-behind-conversational-search","2026-02-23",{"title":753,"description":760},"en\u002Fblog\u002F2026-02-23-ai-mode-the-architectural-shift-behind-conversational-search","KlD8rNATZYE6PGP961xJn4th8bav7t9Kr-dEvZZiCU8",{"id":774,"title":775,"author":754,"body":776,"categories":759,"description":780,"extension":31,"image":781,"layout":762,"link":782,"meta":783,"navigation":39,"path":787,"publishDate":788,"seo":789,"stem":790,"subtitle":45,"__hash__":791},"blog\u002Fen\u002Fblog\u002F2026-02-10-welcome-ai-mode.md","Welcome, AI Mode",{"type":9,"value":777,"toc":778},[],{"title":22,"searchDepth":23,"depth":23,"links":779},[],"Empathy Platform introduces AI Mode, a conversational search experience designed for e-commerce. By allowing shoppers to express intent in natural language, AI Mode offers a more human way to explore catalogs while preserving relevance, control, and alignment with brand and business needs. Discover how AI Mode turns search from keywords into conversations!","\u002Fassets\u002Fmedia\u002Fuploads\u002Fai-mode-cont1.png","https:\u002F\u002Fdocs.empathy.co\u002Fblog\u002Fwelcome-ai-mode.html",{"tags":784},[556,785,786,767],"News","UX","\u002Fen\u002Fblog\u002F2026-02-10-welcome-ai-mode","2026-02-06",{"title":775,"description":780},"en\u002Fblog\u002F2026-02-10-welcome-ai-mode","iceLo1O-lchOUQi-h5QjaYHetyRqvRAIe7reS-EeIIQ",{"id":793,"title":794,"author":795,"body":796,"categories":940,"description":941,"extension":31,"image":942,"layout":762,"link":45,"meta":943,"navigation":39,"path":945,"publishDate":946,"seo":947,"stem":948,"subtitle":949,"__hash__":950},"blog\u002Fen\u002Fblog\u002F2026-02-03-molly-vs-the-machines-when-machines-reflect-us-back.md","MOLLY vs. THE MACHINES: When machines reflect us back","jorgel@empathy.co",{"type":9,"value":797,"toc":934},[798,801,804,816,822,825,828,831,834,839,842,845,850,853,856,859,863,866,869,872,875,878,881,885,888,891,894,897,900,907,911,914,917,920,923],[12,799,800],{},"At Empathy.ai, we believe that technology is never neutral.",[12,802,803],{},"It can expand human possibility or quietly erode it. It can help us understand the world more deeply, or reduce complex human experience into something optimised, extractable, and controlled. Every system we build carries values within it, whether we acknowledge them or not.",[12,805,806,807,815],{},"Alongside the launch of the ",[808,809,810],"strong",{},[16,811,814],{"href":812,"rel":813},"https:\u002F\u002Fmollyvsthemachines.com\u002F",[20],"website for the feature documentary MOLLY vs. THE MACHINES",", a film we are proud to executive produce, these questions feel impossible to ignore.",[12,817,818],{},[819,820],"img",{"alt":22,"src":821},"\u002Fassets\u002Fmedia\u002Fuploads\u002Fscreenshot-2026-02-04-at-08.14.41.png",[12,823,824],{},"A decade ago, many of the anxieties surrounding technology lived comfortably in speculative fiction. Series like Black Mirror imagined futures where algorithms shaped intimacy, governed behaviour, and blurred the boundary between care and control. Those worlds felt dystopian because they felt unreal.",[12,826,827],{},"They are no longer distant.",[12,829,830],{},"MOLLY vs. THE MACHINES is not a speculative warning. It is a documentary grounded in the present, based on real events. It explores how real technological systems, built by real companies and governed by real incentives, shape human lives in ways we are only beginning to understand. What once looked like fiction has become reality.",[12,832,833],{},"This post is not just about a film. It is about responsibility.",[835,836,838],"h2",{"id":837},"a-story-about-power-resistance-and-the-digital-condition","A story about power, resistance, and the digital condition",[12,840,841],{},"Directed by Marc Silver, MOLLY vs. THE MACHINES follows the story of Molly Russell, a teenager whose life was tragically shaped by algorithmic systems optimised for engagement rather than care. Through her story, the film broadens its scope to examine the structures behind modern digital platforms: how recommendation engines work, how data is harvested, and how surveillance-driven business models quietly influence behaviour, emotion, and mental health.",[12,843,844],{},"This is not a film about technology as an enemy. It is a film about power asymmetry.",[12,846,847],{},[819,848],{"alt":22,"src":849},"\u002Fassets\u002Fmedia\u002Fuploads\u002Fpost-1.svg",[12,851,852],{},"It asks who designs the systems that conduct our attention. Who benefits from them. And who bears the cost and who pays the consequences when optimisation replaces accountability.",[12,854,855],{},"Rather than offering answers, the documentary creates space for reflection. It invites the public to question the neutrality of algorithms, the incentives of big tech, and the cultural habit of outsourcing responsibility to machines we barely understand.",[12,857,858],{},"For a general audience, MOLLY vs. THE MACHINES is both accessible and urgent. It does not require technical expertise, only human attention. It speaks to parents, educators, policymakers, technologists, and anyone living inside digital systems they did not choose but cannot avoid.",[835,860,862],{"id":861},"why-empathyai-chose-to-stand-behind-this-film","Why Empathy.ai chose to stand behind this film",[12,864,865],{},"Empathy.ai is an executive producer of MOLLY vs. THE MACHINES, not as a branding exercise, but as a statement of alignment.",[12,867,868],{},"The foundations of our company work come from a simple conviction: AI should not depend on distant servers, fragile networks, or opaque providers. Intelligence should live where responsibility lives.",[12,870,871],{},"That belief has factual consequences. We build in-house, private-cloud AI powered by dedicated hardware, open-source models, and renewable energy. When AI runs locally, data stays safe. Uptime is governed, not outsourced. Sustainability becomes operational, not aspirational. Intelligence becomes infrastructure, not a subscription.",[12,873,874],{},"These principles are not speculative ideals or future aspirations. They already shape how we build, deploy, and govern AI systems today.",[12,876,877],{},"Supporting this film is a natural extension of that philosophy. MOLLY vs. THE MACHINES exposes the human cost of systems designed without accountability. Our role as executive producers reflects a commitment to demonstrating that alternatives are not only possible, but already real.",[12,879,880],{},"Technology can be built differently. The question is whether we choose to.",[835,882,884],{"id":883},"where-mollys-story-meets-our-engineering-practice","Where Molly’s story meets our engineering practice",[12,886,887],{},"What connects a documentary about algorithmic harm with a company building private, sustainable AI infrastructure is not aesthetics or messaging. It is structured.",[12,889,890],{},"Molly’s story reveals what happens when systems are optimised for scale, engagement, and extraction without transparency or care. Empathy.ai’s work is a response to that same architecture companies must fight, approached from an engineering and artistic standpoint simultaneously.",[12,892,893],{},"As part of the film’s ecosystem, we developed an AI experience designed not to comfort, persuade, or simulate empathy, but to provoke thought. This machine experience runs on a private, self-hosted, sustainable infrastructure in our own headquarters. It tracks no users. It stores no conversations. It exists as an object of inquiry rather than a character.",[12,895,896],{},"The experience explicitly rejects anthropomorphism. It does not pretend to feel, to care, or to understand. Instead, it exposes its limits, its architecture, and its contradictions. It invites visitors to reflect on how AI governs meaning, attention, and power, while acknowledging that it is itself born from those same computational paradigms.",[12,898,899],{},"In this way, the project becomes both artistic and technical. It blends storytelling with infrastructure, and ethics with engineering. It shows that critique does not have to exist outside technology. It can be built into it.",[901,902],"iframe",{"className":903,"src":905,"frameBorder":906,"allowFullScreen":39},[904],"youtube-video","https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FYH0bOI1toZM","0",[835,908,910],{"id":909},"stepping-inside-the-critique","Stepping inside the critique",[12,912,913],{},"The launch of the MOLLY vs. THE MACHINES website embodies the opening of this experience to the public.",[12,915,916],{},"Visitors can explore the documentary film, its context, and the broader questions it raises, but they can also step inside a machine designed to reflect rather than persuade. This is not an AI designed to mimic humanity. It is designed to help us see more clearly the systems we interact with everyday.",[12,918,919],{},"We invite you to navigate the website, engage with the film, and enter the machine experience with curiosity rather than expectation. Not to find answers, but to sharpen questions.",[12,921,922],{},"Because the future of technology will not be decided by machines alone. It will be decided by the values we encode, the infrastructures we choose, and the responsibilities we refuse to outsource.",[12,924,925,929,930,933],{},[16,926,928],{"href":812,"rel":927},[20],"The website is now live",".",[931,932],"br",{},"\nStep inside.",{"title":22,"searchDepth":23,"depth":23,"links":935},[936,937,938,939],{"id":837,"depth":23,"text":838},{"id":861,"depth":23,"text":862},{"id":883,"depth":23,"text":884},{"id":909,"depth":23,"text":910},"Blog","An article on MOLLY vs. THE MACHINES, a documentary grounded in real events that examines algorithmic power, responsibility, and the human consequences of engagement-driven technology, and why Empathy.ai chose to stand behind it.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fthumbnail-1-.svg",{"label":160,"tags":944},[785,766],"\u002Fen\u002Fblog\u002F2026-02-03-molly-vs-the-machines-when-machines-reflect-us-back","2026-02-03",{"title":794,"description":941},"en\u002Fblog\u002F2026-02-03-molly-vs-the-machines-when-machines-reflect-us-back","Power, responsibility, and the human cost of systems built without accountability","s054EXlBK6Z8BlxPL8CXo9AJyqJg5zGlW06XE7pLpLo",{"id":952,"title":953,"author":795,"body":954,"categories":940,"description":1116,"extension":31,"image":1117,"layout":762,"link":45,"meta":1118,"navigation":39,"path":1121,"publishDate":1122,"seo":1123,"stem":1124,"subtitle":1125,"__hash__":1126},"blog\u002Fen\u002Fblog\u002F2025-12-31-wrapping-up-2025-building-2026.md","Wrapping up 2025, building 2026",{"type":9,"value":955,"toc":1100},[956,959,962,965,969,974,977,980,984,987,990,994,997,1000,1004,1007,1011,1014,1017,1020,1023,1027,1030,1033,1036,1039,1042,1046,1049,1052,1055,1059,1062,1065,1068,1071,1075,1078,1081,1084,1087,1091,1094,1097],[12,957,958],{},"As 2025 comes to an end, it feels less like a conclusion and more like a point of consolidation. This has been a year of making ideas tangible, of turning principles into systems, and of proving that another way of building AI is not only possible, but already working in the real world.",[12,960,961],{},"At Empathy.ai, we have spent the past year refining a clear stance: AI should be understandable, inspectable, transparent, private by design, and aligned with human values. Not because it is fashionable to say so, but because the infrastructure choices we make today will define how people interact with technology for years to come.",[12,963,964],{},"This post looks back briefly at what 2025 helped us solidify, and then looks forward to what we are deliberately building in 2026.",[835,966,968],{"id":967},"_2025-from-ideas-to-operating-reality","2025: From ideas to operating reality",[970,971,973],"h3",{"id":972},"turning-intent-into-meaningful-experiences","Turning intent into meaningful experiences",[12,975,976],{},"Throughout 2025, we focused on rethinking how people interact with search, discovery, and information. Features like Related Prompts, AI Overview, Conversational Analytics, and experimental assistants such as the chat widget for Motive and Truman for CasaDelLibro demonstrated a consistent idea: search should move beyond keyword matching and become an intent-aware, meaningful interaction.",[12,978,979],{},"These experiences showed that generative AI can be used without turning the multiple applications of generative AI into black boxes. AI can summarize, guide, and propose the best option and enhanced alternatives while remaining grounded in real catalog data, governed logic, and explainable behavior. The result is not automation for its own sake, but clarity for both shoppers and teams.",[970,981,983],{"id":982},"privacy-governance-and-infrastructure-as-product-decisions","Privacy, governance, and infrastructure as product decisions",[12,985,986],{},"Another defining moment of 2025 was making AI compute infrastructure visible as a product choice. By investing in private, self-hosted AI cloud, powered by dedicated GPUs and supported by sustainable energy sources, we demonstrated that performance, privacy, and responsibility are not trade-offs.",[12,988,989],{},"Owning the infrastructure where our AI experiments, demos, and productized developments run,  allowed us to reduce dependency, improve latency, enforce strict data governance, and keep AI workloads within local boundaries. It also reinforced the belief that AI should not be rented blindly from opaque systems, but built and operated where accountability lives.",[970,991,993],{"id":992},"experimentation-as-a-way-to-think-in-public","Experimentation as a way to think in public",[12,995,996],{},"Projects like BringTheBookToLife, inspired by Project Gutenberg, and collaborations in book discovery and conversational search, like Truman, highlighted the importance of open experimentation. Using public data, open-weight models, and self-hosted systems, we explored how AI could assist discovery without pretending to be human or extracting personal data. All of this resulted in Truman, a productized AI assistant that provides advice on the book best suited to readers’ needs and aims, while simultaneously summarizing the author’s works or giving descriptions of sagas and other related data.",[12,998,999],{},"These initiatives were not proof of scale, but proof of direction. They helped shape the questions we want to keep asking.",[835,1001,1003],{"id":1002},"_2026-building-with-intention-and-momentum","2026: Building with intention and momentum",[12,1005,1006],{},"If 2025 was about consolidation, 2026 is about commitment. The year ahead is not about adding features indiscriminately, but about deepening the foundations that allow AI to remain useful, ethical, and resilient over time.",[970,1008,1010],{"id":1009},"_1-doubling-down-on-sovereignty-privacy-and-sustainability","1. Doubling down on sovereignty, privacy, and sustainability",[12,1012,1013],{},"Our foremost priority for 2026 is to continue strengthening our private AI compute infrastructure.",[12,1015,1016],{},"This means expanding our in-house GPU capacity, keeping AI workloads physically local, and ensuring that customer data never leaves controlled environments. AI sovereignty is not an abstract concept for us. It is a practical response to a fragile ecosystem increasingly dependent on third-party providers, shared infrastructure, and opaque decision-making.",[12,1018,1019],{},"By scaling a local infrastructure, we aim to offer organizations a clear alternative: advanced AI capabilities without sacrificing control, compliance, or long-term stability. In 2026, AI should behave more like a solid infrastructure and less like a subscription. Something organizations own, understand, and can rely on. ",[12,1021,1022],{},"Sustainability remains a core constraint, not an afterthought. Energy efficiency, responsible computation, and transparent resource usage will continue to guide our growth.",[970,1024,1026],{"id":1025},"_2-defending-the-de-anthropomorphisation-of-ai","2. Defending the de-anthropomorphisation of AI",[12,1028,1029],{},"One of the most important positions we will continue to defend is the de-anthropomorphisation of AI.",[12,1031,1032],{},"This belief is central to our role as executive producers of Molly vs. the Machines, an investigative documentary and experiential project that exposes how engagement-driven algorithms shape behavior, extract attention, and exploit vulnerability, often without regard for the impact on mental health or long-term consequences.",[12,1034,1035],{},"The machine experience behind Molly vs. the Machines is intentionally uncomfortable. It does not empathize. It does not console. It does not pretend to understand grief or emotion. Instead, it reveals structure, incentive, and consequence. It speaks with you, but never for you.",[12,1037,1038],{},"This distinction matters. When AI systems are portrayed as emotional entities, users are encouraged to trust, confide in, and defer to them. When AI is presented as what it truly is, a system built on data, incentives, and architecture, people retain agency.",[12,1040,1041],{},"In 2026, we will continue advocating for AI that is transparent about its nature. Machines should assist human thinking, not replace it. They should expose systems, not obscure them behind simulated empathy.",[970,1043,1045],{"id":1044},"_3-advancing-conversational-and-discovery-driven-search","3. Advancing conversational and discovery-driven search",[12,1047,1048],{},"Search remains one of the most powerful interfaces between people and digital systems. In 2026, we will continue to bring AI capabilities into search by creating richer, more intuitive ways for shoppers to interact with catalogs.",[12,1050,1051],{},"This means expanding conversational search and discovery experiences that allow users to express their intent in natural language, even when they do not know what they are looking for. It also means designing interactions that guide rather than overwhelm, that offer alternatives rather than dead ends, and that turn low-results scenarios into meaningful exploration.",[12,1053,1054],{},"The goal is not to replace traditional search, but to augment it with layers of understanding, context, and dialogue that respect both the user and the underlying data.",[970,1056,1058],{"id":1057},"_4-making-systems-explainable-through-mcp-agents","4. Making systems explainable through MCP agents",[12,1060,1061],{},"Another key focus for 2026 is the continued development of Model Context Protocol (MCP) agents.",[12,1063,1064],{},"MCP agents allow natural-language conversation applications to connect directly with live analytics, configurations, and other tools and features. Instead of navigating complex insights dashboards or trying to understand and apply opaque business rules and configurations, teams can ask questions, explore outcomes, and understand cause and effect through dialogue.",[12,1066,1067],{},"This transforms analytics and search configuration into something explainable and interactive. Merchandisers gain clarity about why systems behave the way they do. Adjustments become intentional, traceable, and reversible.",[12,1069,1070],{},"In a landscape where systems must evolve quickly, MCP enables more efficient, loosely coupled connections between tools, features, and data sources. This architecture allows teams to adapt fast, swap or update LLMs, and iterate without heavy dependencies, all while remaining fully transparent to customers. MCP’s value lies behind the scenes, empowering change without exposing complexity.",[970,1072,1074],{"id":1073},"_5-making-our-own-tools-more-intuitive-and-practical","5. Making our own tools more intuitive and practical",[12,1076,1077],{},"Finally, in 2026, we will continue to simplify, clarify, and enhance our internal tools to better support human workflows.",[12,1079,1080],{},"Experiences like Empathy Platform Docs Search represent this direction. By applying generative understanding and semantic reasoning to documentation, EPDocs Search allows people to explore information through natural language, even when they do not know the exact terms or structure of the content.",[12,1082,1083],{},"This improves the information seeking experience for users, who can also receive contextual, grounded answers that reflect the actual documentation. This reduces friction, saves time, and lowers the cognitive burden associated with understanding complex product documentation.",[12,1085,1086],{},"Intuitive tools are not about hiding complexity. They are about revealing it gradually to make it accessible at the pace people need.",[835,1088,1090],{"id":1089},"looking-ahead","Looking ahead",[12,1092,1093],{},"As we enter 2026, our direction is clear. We are not chasing scale at any cost, nor novelty for its own sake. We are building AI systems that are sovereign, private, sustainable, and transparent about their capabilities.",[12,1095,1096],{},"Next year will be about reinforcing these foundations, expanding responsibly, and continuing to show that AI can be powerful without being extractive, useful without being deceptive, and advanced without losing sight of human values.",[12,1098,1099],{},"This is not the fastest path. But it is the one we believe will endure.",{"title":22,"searchDepth":23,"depth":23,"links":1101},[1102,1108,1115],{"id":967,"depth":23,"text":968,"children":1103},[1104,1106,1107],{"id":972,"depth":1105,"text":973},3,{"id":982,"depth":1105,"text":983},{"id":992,"depth":1105,"text":993},{"id":1002,"depth":23,"text":1003,"children":1109},[1110,1111,1112,1113,1114],{"id":1009,"depth":1105,"text":1010},{"id":1025,"depth":1105,"text":1026},{"id":1044,"depth":1105,"text":1045},{"id":1057,"depth":1105,"text":1058},{"id":1073,"depth":1105,"text":1074},{"id":1089,"depth":23,"text":1090},"A reflection on 2025 as a year of consolidation and proof, and a look ahead to 2026 focused on sovereign infrastructure, transparent AI, explainable systems, and intent-driven search built with long-term responsibility.","\u002Fassets\u002Fmedia\u002Fuploads\u002F2026.png",{"label":160,"tags":1119},[766,556,1120,785],"Insights","\u002Fen\u002Fblog\u002F2025-12-31-wrapping-up-2025-building-2026","2026-01-02",{"title":953,"description":1116},"en\u002Fblog\u002F2025-12-31-wrapping-up-2025-building-2026","From consolidating principles into real systems in 2025 to building sovereign, transparent, and human-aligned AI infrastructure in 2026.","GfhOOtrdO26peWuHzZmitphKHiY7NrlOG5ZBuiqvo-c",{"id":1128,"title":1129,"author":795,"body":1130,"categories":940,"description":1278,"extension":31,"image":1279,"layout":762,"link":45,"meta":1280,"navigation":39,"path":1282,"publishDate":1283,"seo":1284,"stem":1285,"subtitle":1286,"__hash__":1287},"blog\u002Fen\u002Fblog\u002F2025-12-02-in-house-ai-the-key-to-true-technological-independence.md","In-house AI: the key to true technological independence",{"type":9,"value":1131,"toc":1270},[1132,1135,1138,1141,1145,1148,1151,1154,1160,1164,1167,1170,1173,1176,1182,1186,1189,1192,1195,1198,1201,1204,1210,1214,1217,1220,1223,1226,1229,1235,1239,1242,1245,1248,1251,1254,1258,1261,1264,1267],[12,1133,1134],{},"Imagine AI operating without distant servers or fragile networks. Intelligence that runs quietly, responsibly, and entirely within an organization’s own walls. No outages, no external dependencies, no hidden cost of giving your data to someone else.",[12,1136,1137],{},"Now picture that same self-contained intelligence powered by renewable energy, running on the very sunlight that warms the building around it.",[12,1139,1140],{},"These questions are no longer hypothetical. They outline a shift that is already underway: a private-cloud, in-house AI that is resilient, sustainable, and grounded in open-source transparency. It is a shift driven not by hype, but by necessity.",[835,1142,1144],{"id":1143},"the-fragility-of-outsourced-intelligence","The fragility of outsourced intelligence",[12,1146,1147],{},"Over the past months, we have seen how quickly entire ecosystems can be disrupted. A single outage in a global service provider has taken down AI tools around the world, stalling workflows, interrupting customer experiences, and revealing just how fragile our reliance on external infrastructure can be.",[12,1149,1150],{},"Even the biggest names in AI depend on services like Cloudflare to serve their models to millions of users. When that layer fails, every dependent service fails along with it. This vulnerability is not theoretical. It has already happened.",[12,1152,1153],{},"This raises a simple but profound question: If AI is becoming the new nervous system of organizations, why is it still hosted on infrastructure we do not control?",[12,1155,1156],{},[819,1157],{"alt":1158,"src":1159,"title":1158},"AI that is private by default, not by configuration.","\u002Fassets\u002Fmedia\u002Fuploads\u002Finner-1.svg",[835,1161,1163],{"id":1162},"a-different-way-forward-high-performance-ai-hosted-at-home","A different way forward: high-performance AI, hosted at home",[12,1165,1166],{},"Empathy AI’s approach begins with a straightforward premise: intelligence should live where the responsibility lies. That is why we are bringing AI in-house with NVIDIA DGX Spark supercomputers and a supporting architecture of L40 GPU servers. These systems no longer represent a luxury reserved for hyperscalers. They are becoming the backbone of private, sovereign, real-time intelligence.",[12,1168,1169],{},"Instead of pushing AI workloads into a public cloud where resources are shared, we run them locally, in a private environment powered by dedicated hardware. This creates a fundamentally different relationship with technology. Data stays inside. Latency drops. Uptime becomes something we control rather than something we hope for. And teams no longer depend on the licensing decisions or availability of external providers.",[12,1171,1172],{},"AI becomes infrastructure, not a subscription.",[12,1174,1175],{},"Each DGX Spark can host up to 128 isolated workspaces for teams to create, iterate, and experiment without escalating external licensing fees. That shift turns what would have become more than €130,000 per year in cloud AI costs into a one-time hardware investment that powers innovation, not dependency.",[12,1177,1178],{},[819,1179],{"alt":1180,"src":1181,"title":1180},"AI that is transparent because it is open.","\u002Fassets\u002Fmedia\u002Fuploads\u002Finner-2.svg",[835,1183,1185],{"id":1184},"open-source-intelligence-the-importance-of-olmo3","Open-source intelligence: the importance of OLMO3",[12,1187,1188],{},"This move toward independence is not only about hardware. It is equally about the kind of intelligence we choose to run.",[12,1190,1191],{},"Closed, proprietary models create a silent dependency: you cannot inspect them, you cannot adapt them freely, and you cannot detach them from the cloud providers that control them. Their training data is opaque, their constraints are unclear, and their long-term costs are unpredictable.",[12,1193,1194],{},"Open-source models, especially those designed for local deployment, break this cycle. At the center of this shift is OLMO3, the new open-source large language model from AllenAI.",[12,1196,1197],{},"OLMO3 represents a different philosophy: transparency instead of opacity, community instead of exclusivity, sovereignty instead of lock-in. Its architecture is designed for organizations that want to run AI privately, ethically, and sustainably.",[12,1199,1200],{},"By integrating OLMO3 into our private-cloud architecture, we gain the ability to deploy cutting-edge language understanding entirely on-site, without sending a single token to an external endpoint. Its open-source origins also mean no licensing barriers and no hidden obligations. It is intelligence that belongs to the organization running it.",[12,1202,1203],{},"Using OLMO3 is not simply a technical choice. It is an affirmation: AI should empower, not extract.",[12,1205,1206],{},[819,1207],{"alt":1208,"src":1209,"title":1208},"Solar panels at the Empathy AI headquarters","\u002Fassets\u002Fmedia\u002Fuploads\u002Fsolar.png",[835,1211,1213],{"id":1212},"sustainability-where-computation-meets-sunlight","Sustainability: where computation meets sunlight",[12,1215,1216],{},"Perhaps the most overlooked advantage of in-house AI is the ability to power it responsibly. At Empathy AI, the DGX Sparks and L40 servers run in a net-zero energy bioclimatic building, where a solar installation supplies part of the computing power behind our private-cloud AI.",[12,1218,1219],{},"This matters for two reasons.",[12,1221,1222],{},"First, the environmental footprint of cloud-based AI is often invisible. As models grow, so does the energy demand required to run them across global data centers. That cost, environmental and ethical, is not something most organizations can measure, let alone influence.",[12,1224,1225],{},"Second, running AI locally enables a more transparent, accountable use of energy. When intelligence is hosted inside a building designed to generate a significant part of its own power, sustainability stops being an aspiration and evolves into an operational reality.",[12,1227,1228],{},"Energy and intelligence become intertwined in a new way: computation aligned with climate responsibility.",[12,1230,1231],{},[819,1232],{"alt":1233,"src":1234,"title":1233},"AI that is sustainable by design, and resilient because it is local.","\u002Fassets\u002Fmedia\u002Fuploads\u002Finner-3.svg",[835,1236,1238],{"id":1237},"uptime-sovereignty-and-the-quiet-resilience-of-local-computation","Uptime, sovereignty, and the quiet resilience of local computation",[12,1240,1241],{},"When AI is hosted externally, reliability becomes conditional. It depends on the stability of global networks, the uptime of third-party vendors, and the dependencies those vendors themselves rely on.",[12,1243,1244],{},"When AI is hosted internally, reliability becomes an architectural advantage. It depends on hardware that the organization owns, on systems it maintains, and on infrastructures designed for its specific needs and regulatory environment.",[12,1246,1247],{},"Consider the simplicity of this: If your AI lives inside your own walls, no outage thousands of kilometers away can interrupt it.",[12,1249,1250],{},"This is not just a technical upgrade. It is a philosophical one. It is the belief that intelligence should be as stable as the organization it serves.",[12,1252,1253],{},"The combination of DGX Spark supercomputers, L40 GPU servers, and open-source models like OLMO3 forms more than a new technical stack. It becomes a declaration about what AI should be.These principles are not optional add-ons. They form the foundation of responsible intelligence.",[835,1255,1257],{"id":1256},"the-horizon-ahead","The horizon ahead",[12,1259,1260],{},"As organizations begin to understand the cost of dependency and the value of sovereignty, the path forward becomes clearer. AI must move closer to where decisions are made. It must respect the boundaries of data. It must run on infrastructures aligned with the planet, not strained against it. And it must be open, interpretable, and free from the constraints of proprietary ecosystems.",[12,1262,1263],{},"In-house AI is not a return to the past. It is a step toward a more deliberate, balanced future. A future where intelligence is an asset held, not a service rented.",[12,1265,1266],{},"The transition has already begun. The question now is not whether organizations should bring AI in-house, but what they will build once they do: systems that inspire trust, elevate teams, and put human values at the center of technological progress.",[12,1268,1269],{},"If you are imagining what this could look like for your industry or your organization, we are ready to explore it with you. The next era of AI is sovereign, sustainable, and open. And it is within reach.",{"title":22,"searchDepth":23,"depth":23,"links":1271},[1272,1273,1274,1275,1276,1277],{"id":1143,"depth":23,"text":1144},{"id":1162,"depth":23,"text":1163},{"id":1184,"depth":23,"text":1185},{"id":1212,"depth":23,"text":1213},{"id":1237,"depth":23,"text":1238},{"id":1256,"depth":23,"text":1257},"This is why in-house AI powered by open-source models and local high-performance hardware enables true independence, resilience, and sustainable computation.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fthumbnail.svg",{"label":160,"tags":1281},[767,766,785],"\u002Fen\u002Fblog\u002F2025-12-02-in-house-ai-the-key-to-true-technological-independence","2025-12-03",{"title":1129,"description":1278},"en\u002Fblog\u002F2025-12-02-in-house-ai-the-key-to-true-technological-independence","A new era of sovereign, sustainable, open-source intelligence that lives inside your company.","C5Wb0K7yXqunmCXQMQokd4R52Vp-qscMTxuoxU-OVxs",{"id":1289,"title":1290,"author":795,"body":1291,"categories":940,"description":1466,"extension":31,"image":1467,"layout":762,"link":45,"meta":1468,"navigation":39,"path":1471,"publishDate":1472,"seo":1473,"stem":1474,"subtitle":1475,"__hash__":1476},"blog\u002Fen\u002Fblog\u002F2025-11-20-truman-and-the-new-era-of-sustainable-private-ai-discovery.md","Truman and the new era of sustainable, private AI discovery",{"type":9,"value":1292,"toc":1459},[1293,1296,1307,1310,1317,1321,1324,1327,1334,1337,1344,1348,1351,1362,1365,1368,1375,1379,1382,1416,1419,1423,1426,1440,1443,1447,1450,1453,1456],[12,1294,1295],{},"What if AI could help people discover products with more intuition and ease, without compromising privacy or consuming unnecessary resources? What if conversational search could feel genuinely helpful, not performative or human-like, and still remain deeply aligned with the values of both customers and brands?",[12,1297,1298,1299,1306],{},"These questions have guided the work behind one of our most exciting milestones yet: the launch of ",[808,1300,1301],{},[16,1302,1305],{"href":1303,"rel":1304},"https:\u002F\u002Fwww.casadellibro.com\u002F#truman",[20],"Truman",", Casa del Libro’s new AI Discovery Experience, now live and in production at scale.",[12,1308,1309],{},"Truman represents more than a new way to explore a bookstore catalog. It symbolizes a new paradigm for AI in commerce: private, transparent, sustainable, and designed to amplify human curiosity rather than imitate it.",[12,1311,1312],{},[819,1313],{"alt":1314,"src":1315,"title":1316},"Interface of Truman on a yellow tablet, showing a friendly illustrated character and a text box inviting users to describe their reading preferences.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fbp1.png","Truman’s conversational book discovery interface on Casa del Libro’s website.",[835,1318,1320],{"id":1319},"a-new-way-to-discover-books-built-on-private-ai","A new way to discover books, built on private AI",[12,1322,1323],{},"Since the beginning of last week, visitors to CasaDelLibro.com can click on Truman from the homepage, describe what they enjoy reading, or any other literature-related interests they may have, and receive contextual book suggestions tailored to their interests. Customers can also access Truman through the tablets available throughout Casa del Libro’s physical stores, bringing the online AI experience directly into the in-store environment. ",[12,1325,1326],{},"Instead of a chatbot pretending to be human, Truman speaks as what it truly is: a computational system designed to recommend books, create personalized synopses, and answer literary questions. There is no persona, no simulation of feelings, and no artificial opinions. That clarity is key to building meaningful trust with readers.",[12,1328,1329,1330,1333],{},"Behind the scenes, the experience runs entirely on ",[808,1331,1332],{},"open-weight models hosted in the Empathy AI private cloud",". It is fully self-contained, controlled by Casa del Libro and Empathy AI, with a strict commitment to privacy. Truman does not collect personal data. It only receives anonymous insights that help refine the experience over time.",[12,1335,1336],{},"For retailers, this is a powerful blueprint: advanced GenAI without sacrificing data sovereignty, user trust, or infrastructure control.",[12,1338,1339],{},[819,1340],{"alt":1341,"src":1342,"title":1343},"Building with solar panels on the roof illustrating that 11 percent of the computing power supporting Truman comes from the company’s headquarters.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fbp2.png","Solar-powered headquarters providing part of Truman’s computing energy.",[835,1345,1347],{"id":1346},"powered-by-a-private-and-sustainable-cloud","Powered by a private and sustainable cloud",[12,1349,1350],{},"Many brands are asking how to embrace AI responsibly without inflating their environmental footprint. Truman is an example of how this can work in practice.",[12,1352,1353,1354,1357,1358,1361],{},"At Empathy, our AI services run on a hybrid, private, and sustainable cloud designed from the ground up with environmental responsibility in mind. The hardware that powers conversational experiences like Truman is located in a ",[808,1355,1356],{},"net-zero energy bioclimatic building",". Our headquarters’ solar installation contributes ",[808,1359,1360],{},"11 percent of the computing power behind this AI",", proving that high-performance models can be hosted in ways that are energy-efficient, transparent, and respectful of the planet.",[12,1363,1364],{},"This is not a marketing line. It is an operational principle. Dedicated GPUs. Local processing. Lower energy consumption. No unnecessary transfers to hyperscale data centers.",[12,1366,1367],{},"Truman proves that brands no longer need to choose between cutting‑edge AI and climate‑conscious operations. They can have both.",[12,1369,1370],{},[819,1371],{"alt":1372,"src":1373,"title":1374},"Server rack with a blue shield icon and circuit lines, accompanied by the text “Privacy first architecture” to highlight that data stays within private cloud environments.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fbp3.png","Private cloud architecture ensuring data governance and privacy for Truman.",[835,1376,1378],{"id":1377},"ethical-by-design-ai-that-enhances-discovery-not-substitutes-it","Ethical by design: AI that enhances discovery, not substitutes it",[12,1380,1381],{},"The purpose of Empathy AI agents, such as Truman, is not to mimic human emotions or automate decision-making. It is to support and extend the ways people explore content with clarity, curiosity, and control. The foundation of our AI ecosystem rests on several principles:",[1383,1384,1385,1392,1398,1404,1410],"ul",{},[1386,1387,1388,1391],"li",{},[808,1389,1390],{},"Objecthood instead of anthropomorphism",": AI is a machine, not a person. Interactions remain transparent and grounded in real system behavior.",[1386,1393,1394,1397],{},[808,1395,1396],{},"Privacy-first architecture",": Data remains within private cloud environments, ensuring full governance.",[1386,1399,1400,1403],{},[808,1401,1402],{},"Sustainability throughout the stack",": Energy efficiency is baked into computation, hardware, and architectural choices.",[1386,1405,1406,1409],{},[808,1407,1408],{},"Human-centered design",": AI should encourage exploration, not automate human judgment.",[1386,1411,1412,1415],{},[808,1413,1414],{},"Transparency and critical thinking",": Systems are built to be explainable and encourage users to understand how results come to life.",[12,1417,1418],{},"These principles help create experiences that feel empowering, not intrusive; interfaces that keep users in control; and mechanisms that invite critical thinking rather than blind trust, turning AI into a trusted instrument for exploration. They put people and brands back in control.",[835,1420,1422],{"id":1421},"what-truman-means-for-retailers","What Truman means for retailers",[12,1424,1425],{},"Conversational search is changing the way customers explore online catalogs. Instead of guessing the right keyword, shoppers can simply express what they want, how they feel, or what they are curious about. That shift unlocks new opportunities:",[1383,1427,1428,1431,1434,1437],{},[1386,1429,1430],{},"Helping customers who browse without a specific title in mind.",[1386,1432,1433],{},"Adapting to new forms of expressive, natural-language search.",[1386,1435,1436],{},"Capturing intent that traditional filters or taxonomies might miss.",[1386,1438,1439],{},"Increasing engagement by making discovery more intuitive.",[12,1441,1442],{},"The most exciting part is that Truman is just the first chapter. Casa del Libro and Empathy AI are already exploring what comes next: deeper context awareness, blended discovery journeys, integrations across the customer lifecycle, and new ways to search that go far beyond the search bar.",[835,1444,1446],{"id":1445},"a-sustainable-path-forward","A sustainable path forward",[12,1448,1449],{},"The future of AI in commerce will not be defined by the loudest models or the largest data centers. It will be shaped by systems that respect individuals, energy, and the integrity of information. Systems that enhance the work of product teams rather than replace it. Systems that help people connect with products in ways that feel natural, transparent, and aligned with their values.",[12,1451,1452],{},"Truman is proof that this future is not theoretical. It is already happening.",[12,1454,1455],{},"So the question is no longer whether retailers can use conversational AI responsibly. The question is how they want to use it:  to inspire curiosity, support discovery, and create experiences that put people, not algorithms, at the center.",[12,1457,1458],{},"Wondering what a similar experience could look like for your catalog or brand? We are ready to explore the idea with you and co‑create conversational journeys that are as innovative as they are responsible.",{"title":22,"searchDepth":23,"depth":23,"links":1460},[1461,1462,1463,1464,1465],{"id":1319,"depth":23,"text":1320},{"id":1346,"depth":23,"text":1347},{"id":1377,"depth":23,"text":1378},{"id":1421,"depth":23,"text":1422},{"id":1445,"depth":23,"text":1446},"Discover Truman, Casa del Libro’s new private and sustainable AI that transforms book discovery with transparent, privacy-first conversational search.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fcover.svg",{"label":185,"tags":1469},[556,1470,767],"Retail","\u002Fen\u002Fblog\u002F2025-11-20-truman-and-the-new-era-of-sustainable-private-ai-discovery","2025-11-20",{"title":1290,"description":1466},"en\u002Fblog\u002F2025-11-20-truman-and-the-new-era-of-sustainable-private-ai-discovery","How Truman and Casa del Libro are redefining conversational search through private, sustainable, and human-centered AI","0zgyiaziKkmdimAPesNvFN_nUv9kRR8ATKoNdzzIPl8",{"id":1478,"title":1479,"author":754,"body":1480,"categories":759,"description":1484,"extension":31,"image":1485,"layout":762,"link":1486,"meta":1487,"navigation":39,"path":1489,"publishDate":1490,"seo":1491,"stem":1492,"subtitle":45,"__hash__":1493},"blog\u002Fen\u002Fblog\u002F2025-09-11-integrating-interface-x-your-way.md","Integrating Interface X your way",{"type":9,"value":1481,"toc":1482},[],{"title":22,"searchDepth":23,"depth":23,"links":1483},[],"Discover how Empathy Platform is rethinking commerce search integration with the groundbreaking Injectable X Components, a modular approach that embeds search UI components directly into the existing website architecture. Brands can now choose between the ready-to-launch Archetype, the fully customizable X Components library, or the modular, injectable components to meet their diverse integration needs.","\u002Fassets\u002Fmedia\u002Fuploads\u002Finterface-x-2.svg","https:\u002F\u002Fdocs.empathy.co\u002Fblog\u002Finterface-x-integration-paths.html",{"tags":1488},[556,785,786,767],"\u002Fen\u002Fblog\u002F2025-09-11-integrating-interface-x-your-way","2025-09-12",{"title":1479,"description":1484},"en\u002Fblog\u002F2025-09-11-integrating-interface-x-your-way","bsREkY-PmI3SgQwS4My4pL3SWjHhCYHcbRPpikkrhec",{"id":1495,"title":1496,"author":795,"body":1497,"categories":940,"description":1679,"extension":31,"image":1680,"layout":762,"link":45,"meta":1681,"navigation":39,"path":1683,"publishDate":1684,"seo":1685,"stem":1686,"subtitle":1687,"__hash__":1688},"blog\u002Fen\u002Fblog\u002F2025-08-28-building-mcp-in-public-bringing-conversational-analytics-to-backroom.md","Building MCP in public: bringing conversational analytics to Backroom",{"type":9,"value":1498,"toc":1669},[1499,1508,1512,1515,1519,1522,1539,1542,1546,1549,1556,1568,1582,1585,1589,1592,1595,1598,1601,1605,1608,1619,1622,1626,1629,1632,1635,1638,1642,1645,1656,1659,1663,1666],[12,1500,1501,1502,1507],{},"Following our first post, where ",[16,1503,1506],{"href":1504,"rel":1505},"https:\u002F\u002Fempathy.co\u002Fblog\u002Fbridging-ai-and-empathy-capabilities-with-mcp\u002F",[20],"we introduced the Model Context Protocol and why it matters",", this is the second installment in our \"building in public\" series. Here we walk through what we have shipped since then, what you can already try in our proof of concept, and why this is a genuinely disruptive, privacy-first step for shop owners.",[835,1509,1511],{"id":1510},"quick-reminder-mcp-in-a-nutshell","Quick reminder: MCP in a nutshell",[12,1513,1514],{},"MCP is the open, standard protocol that lets AI assistants plug into real systems and live data in a structured and secure way. It makes connectors reusable, composable, and discoverable so models can fetch live context or trigger actions without brittle, bespoke integrations. If you read the first post, you already know the core concepts; here, we focus on the progress since then and what it means for merchants.",[835,1516,1518],{"id":1517},"what-weve-built-since-the-last-post","What we’ve built since the last post",[12,1520,1521],{},"Over the last few weeks, the Backroom agent has evolved from a neat demo into a transparent, interactive conversational assistant that actually reasons about merchant questions, plans actions, and shows its work in real time. The main advances are:",[1383,1523,1524,1527,1530,1533,1536],{},[1386,1525,1526],{},"Smart replanning: the agent no longer blindly follows a single plan. When something does not go as expected, it adapts, re-plans, and tries alternate strategies so you get meaningful results instead of opaque failures.",[1386,1528,1529],{},"Intent-aware responses: the system distinguishes whether you want raw data, an interpretation, or an action suggestion. That makes answers shorter, more relevant, and less noisy for non-technical users.",[1386,1531,1532],{},"Streaming and process visibility: you can now watch the agent create a plan, call the necessary tools, and compose the final answer step by step. No more black box; every call, parameter, and response is visible for auditing and trust.",[1386,1534,1535],{},"Dynamic tools management: each MCP server is a live tool that wraps existing APIs such as our stats or index services. Tools are defined with machine-readable schemas and can be toggled or synced at runtime without restarting anything. That means new capabilities appear instantly and safely.",[1386,1537,1538],{},"Adaptive frontend: the chat interface in Backroom adapts to the structure of the response. If the agent returns daily KPIs, you get a time series; if it returns top products, you get a ranked list with IDs, clicks, add-to-carts, and conversion rates; and you can copy data from any step. The UI is not hardcoded; it renders what the tool returns.",[12,1540,1541],{},"These changes turn the assistant from a single-answer toy into an interactive analytics collaborator.",[835,1543,1545],{"id":1544},"a-concrete-demo-flow-what-you-will-see","A concrete demo flow (what you will see)",[12,1547,1548],{},"Here is a real example of what shop owners can do in Backroom:",[12,1550,1551],{},[819,1552],{"alt":1553,"src":1554,"title":1555},"Screenshot of Backroom conversational analytics interface showing product metrics with clicks, add-to-cart actions, and conversion rate in response to a merchant query.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fmcp-ii_image.svg","The image shows the Backroom assistant answering a merchant’s question about product performance. The interface displays analysis for product “Fenix” (ID 149435), including 57 clicks, 3 add-to-cart actions, and a 5.26% conversion rate for July 2025. Suggested follow-up questions appear below, such as top queries with no results and reasons for conversion drops.",[1557,1558,1559,1562,1565],"ol",{},[1386,1560,1561],{},"Launch the assistant in Backroom.",[1386,1563,1564],{},"Ask a natural question, such as: \"Show me the top queries with no results today\" or \"Why is conversion down in electronics this week?\"",[1386,1566,1567],{},"Behind the scenes, the agent:",[1383,1569,1570,1573,1576,1579],{},[1386,1571,1572],{},"Plans the steps it needs, including date calculations and which MCP tools to call.",[1386,1574,1575],{},"Calls the stats API and sessions tools with structured parameters.",[1386,1577,1578],{},"Streams each response so you can inspect parameters and raw outputs.",[1386,1580,1581],{},"Composes a final, plain language summary, relevant KPIs, and follow-up options.",[12,1583,1584],{},"You can then ask follow-ups in the same conversation, request data exports, or ask the assistant to show the raw step outputs. The goal is to replace digging through dashboards with a simple, contextual conversation.",[835,1586,1588],{"id":1587},"why-this-is-disruptive-for-shop-owners","Why this is disruptive for shop owners",[12,1590,1591],{},"Shop owners can get immediate answers in natural language, with clear explanations and actionable insights, without needing to learn dashboards or specific query languages. You can simply ask a question and get useful numbers alongside an interpretation of what those numbers mean.",[12,1593,1594],{},"This leads to faster decisions. Merchants can quickly identify underperforming products, uncover search queries that return no results, and take prompt action on merchandising or content fixes. The assistant can even suggest next steps that are aligned with their business goals.",[12,1596,1597],{},"Trust and explainability are built into the process. Since MCP calls are structured and logged, every statement in the assistant’s response can be traced back to the original tool outputs. This transparency removes guesswork and strengthens confidence in the insights provided.",[12,1599,1600],{},"By lowering the technical barrier, conversational analytics allow shop owners to access and understand their store’s search and behavior data without relying on analysts or engineers. In doing so, it democratizes insights and puts data-driven decision-making directly in the hands of shop owners.",[835,1602,1604],{"id":1603},"a-private-first-approach-innovation-without-compromising-data","A private-first approach: innovation without compromising data",[12,1606,1607],{},"From day one, we designed this as a private-first implementation of MCP. That means:",[1383,1609,1610,1613,1616],{},[1386,1611,1612],{},"Data stays under merchant control: MCP servers wrap your existing services and APIs. The assistant queries those services rather than requiring wholesale data export to third parties. You decide what each tool can access.",[1386,1614,1615],{},"Fine-grained isolation and scoped access: each MCP server only exposes what it needs to, reducing the blast radius and helping with compliance, auditing, and security. Logs and calls are explicit and inspectable.",[1386,1617,1618],{},"No need to rely on private training data to be useful: because the agent operates on live signals from your store, it can generate insights and recommendations without sending raw private logs to external systems. The combination of local connectors, structured tool responses, and on-demand prompts lets us build powerful generative experiences while keeping private data private.",[12,1620,1621],{},"In short, you get the benefits of genAI-driven analytics without surrendering control of sensitive data.",[835,1623,1625],{"id":1624},"how-we-built-this-the-high-level-plumbing","How we built this: the high-level plumbing",[12,1627,1628],{},"You do not need to be an engineer to appreciate the architecture, but here is the straightforward explanation:",[12,1630,1631],{},"Each feature takes the form of an MCP server, describing its functions through a JSON schema. This makes every tool both discoverable and self-describing, allowing the agent to understand exactly what it can do. Within this setup, the host contains the assistant and the orchestration logic, while the client translates the host’s intent into MCP messages. The server then executes the requested queries or actions, returning structured results. Because the messages follow a standard format, different assistants or tools can reuse the same servers seamlessly.",[12,1633,1634],{},"We have also introduced streaming and plan introspection, enabling the host to display step-by-step execution and adjust the plan as needed. This not only provides real-time visibility into the process but also builds trust in the system’s decisions. While these features reveal the inner workings of the MCP architecture, the agent itself is what becomes accessible and visible through the Backroom interface, where shop owners can directly interact and monitor outcomes.",[12,1636,1637],{},"In addition, tool toggles and live sync are managed through a dedicated configuration section, where MCP server behavior can be interacted with. This allows for activating or deactivating capabilities without redeployments, enabling quick iteration and the safe rollout of new analytics endpoints while keeping the system flexible and responsive.",[835,1639,1641],{"id":1640},"what-is-next","What is next",[12,1643,1644],{},"We are moving quickly, but carefully. Short-term, we are focusing on:",[1383,1646,1647,1650,1653],{},[1386,1648,1649],{},"Making the conversation more natural and multi-turn so merchants can drill into results fluidly.",[1386,1651,1652],{},"Adding generative visualisations so insights are not only textual but also visual, with graphs created on demand.",[1386,1654,1655],{},"Rolling out the Backroom integration to more environments and customers so you can try the experience with real stores.",[12,1657,1658],{},"Medium term, we will extend from insight to task making: recommendations that can be applied automatically or semi-automatically via secured MCP-enabled actions, always with merchant consent. Long term, we envision multi-agent workflows that analyze, propose, execute, and validate changes across systems.",[835,1660,1662],{"id":1661},"questions-ideas-feedback","Questions, ideas, feedback",[12,1664,1665],{},"This project is public by design. We want to build this with real shop owners and real use cases, not in isolation. If you have ideas, suggestions, or questions about a specific report you need to ask naturally, we want to hear them. Your feedback helps shape the next steps and the controls we prioritise.",[12,1667,1668],{},"Thanks for following the series, and stay tuned for the future developments.",{"title":22,"searchDepth":23,"depth":23,"links":1670},[1671,1672,1673,1674,1675,1676,1677,1678],{"id":1510,"depth":23,"text":1511},{"id":1517,"depth":23,"text":1518},{"id":1544,"depth":23,"text":1545},{"id":1587,"depth":23,"text":1588},{"id":1603,"depth":23,"text":1604},{"id":1624,"depth":23,"text":1625},{"id":1640,"depth":23,"text":1641},{"id":1661,"depth":23,"text":1662},"Discover how the Model Context Protocol (MCP) powers conversational analytics in Backroom, giving e-commerce shop owners AI-driven insights, transparent planning, and privacy-first data control. Learn what’s new, how it works, and why it’s a game changer for merchants.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fmcp-ii_thumbnail.svg",{"label":160,"tags":1682},[461,766,767,1120,785,556],"\u002Fen\u002Fblog\u002F2025-08-28-building-mcp-in-public-bringing-conversational-analytics-to-backroom","2025-08-28",{"title":1496,"description":1679},"en\u002Fblog\u002F2025-08-28-building-mcp-in-public-bringing-conversational-analytics-to-backroom","How conversational analytics with the Model Context Protocol (MCP) is transforming Backroom into a privacy-first AI assistant for e-commerce shop owners.","edVt6fJ5jlO6cp32PRCL2b-pzNOisYnB9CBs9esfLk0",{"id":1690,"title":1691,"author":1692,"body":1693,"categories":940,"description":1912,"extension":31,"image":1716,"layout":762,"link":45,"meta":1913,"navigation":39,"path":1915,"publishDate":1916,"seo":1917,"stem":1918,"subtitle":45,"__hash__":1919},"blog\u002Fen\u002Fblog\u002F2025-08-06-bridging-ai-and-empathy-capabilities-with-mcp.md","Bridging AI and Empathy capabilities with MCP","anasg@empathy.co",{"type":9,"value":1694,"toc":1904},[1695,1698,1701,1704,1708,1711,1718,1721,1725,1728,1748,1751,1755,1758,1796,1800,1803,1847,1850,1854,1857,1874,1878,1881,1901],[12,1696,1697],{},"The world of AI and large language models (LLMs) is advancing rapidly. Still, real, reliable intelligence remains limited when these systems operate in a silo, isolated from the information and systems around them. Until recently, connecting an AI assistant to live data (be it APIs, databases, or enterprise content) meant laborious, bespoke integrations. Every new data source required another brittle connector, making ongoing maintenance a headache and unscalable. This all changes with the arrival of the Model Context Protocol (MCP): an open standard—reliable and secure—redefining how AI models interact with the world.",[12,1699,1700],{},"Before MCP standards, connecting LLMs and AI assistants to business data or digital tools felt like forcing mismatched plugs into a socket: fragile, improvised, and rarely futureproof.. While API function calls let LLMs reach out, there wasn’t a harmonized way for developers, or the models themselves, to understand and reliably talk to new services. ",[12,1702,1703],{},"Now, imagine you’re building a tool, and instead of wrestling with a tangle of custom integrations every time you want your AI to fetch real, up-to-date context and live data or perform an action, you plug in with ease, just like using USB-C on your laptop. That’s the vision behind MCP, being the link that was missing: a shared language for AI-to-tool communication that brings clarity instead of chaos.",[835,1705,1707],{"id":1706},"what-is-mcp-a-universal-connection-that-redefines-how-ai-gets-things-done","What is MCP? A universal connection that redefines how AI gets things done",[12,1709,1710],{},"API function calling enabled some interaction between LLMs and external tools, but there was no universal language for these integrations. Each connection was bespoke, limiting scalability and stifling innovation. Developers were trapped in cycles of patchwork integrations that hindered speed and reliability.",[12,1712,1713],{},[819,1714],{"alt":1715,"src":1716,"title":1717},"MCP working as connector between AI apps and tools, databases, resources, etc.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fmcp-abstract-connections-map.svg","MCP connector between AI and tools",[12,1719,1720],{},"MCP solves this by acting as the translator for AI: a single, unified, and agnostic protocol that lets AI systems securely plug into any tool, database, or resource, regardless of vendor or architecture. Now, developers and organizations can adopt one standard, making it effortless for any LLM or agent to access the necessary data and actions. With MCP, it no longer matters how many apps, databases, or systems you want your AI to tap into, since they are formed by modular, interchangeable connectors.",[835,1722,1724],{"id":1723},"anatomy-of-mcp-host-client-and-server","Anatomy of MCP: host, client, and server",[12,1726,1727],{},"MCP is built around a streamlined, modular architecture composed of three primary roles:",[1383,1729,1730,1736,1742],{},[1386,1731,1732,1735],{},[808,1733,1734],{},"MCP host (AI Application):"," The ‘brains’ of the operation, where the AI lives. Whether it’s an AI-powered application, an agent platform, or an orchestration framework, the host contains the integration logic, manages sessions and permissions, and coordinates the workflow to decide how and when to pull in data or trigger tools.",[1386,1737,1738,1741],{},[808,1739,1740],{},"MCP client:"," This component sits within the host and acts as a “walkie-talkie”. It handles communication, in a 1:1 connection, between the host and each specific server, converting the host’s requests into structured protocol messages that the server understands. Likewise, the client receives responses or notifications from the server and translates them back to the host.",[1386,1743,1744,1747],{},[808,1745,1746],{},"MCP server:"," This simple, reusable, lightweight service exposes a specific data source or tool, like Slack, GitHub, or a database, through MCP’s standardized endpoints. Servers can provide resources (read-only information retrieval), tools with actions (external APIs calling to perform a calculation, send a message, or fetch live data), or prompts (pre-defined prompt templates or workflows to facilitate complex interactions), all discoverable and composable by the host. The server receives structured requests from the client, executes the appropriate action (like querying an API or database), and returns a structured result back to the client.",[12,1749,1750],{},"Think of it as an AI assistant asking for your store’s stats: the host hears the request, the client shuttles it over, and the server delivers the answer, all via standardized, secure messaging. MCP uses JSON-RPC 2.0 for structured, self-descriptive messaging, and both local (STDIO) and remote (HTTP with Server-Sent Events) integrations are supported, making MCPs highly adaptable.",[835,1752,1754],{"id":1753},"key-features-and-principles","Key features and principles",[12,1756,1757],{},"At Empathy.co, our commitment to contextual, human-centric AI aligns perfectly with MCP’s key features. By adopting MCP within our AI innovations, we’re laying the groundwork for standardization, modularity, and security with the following principles as a core:",[1383,1759,1760,1766,1772,1778,1784,1790],{},[1386,1761,1762,1765],{},[808,1763,1764],{},"Universal standard interface:"," MCP defines a single protocol for integrating any tool: API, database, or service, removing the need for custom integrations per tool-model pair. This promotes interoperability and scalability across systems.",[1386,1767,1768,1771],{},[808,1769,1770],{},"Open ecosystem:"," As an open-source, vendor-neutral protocol, MCP can be used with any LLM and lowers barriers for new connectors, tools, and workflows, fueling collaborative AI innovation with no restrictions.",[1386,1773,1774,1777],{},[808,1775,1776],{},"Reusable server-side integrations:"," Build once, reuse everywhere. MCP servers are modular, reusable connectors, dramatically reducing duplicated effort and simplifying development. ",[1386,1779,1780,1783],{},[808,1781,1782],{},"Composability, modularity, and extensibility:"," Tools are designed as small, independent servers that can be combined in workflows. Thanks to the shared protocol, they interact seamlessly and evolve independently from the clients and hosts. This way, new capabilities can be added without breaking existing implementations.",[1386,1785,1786,1789],{},[808,1787,1788],{},"Security and isolation:"," Each server only sees what’s necessary, nothing else. The host enforces strict boundaries, securing sensitive data and simplifying compliance, which prevents unintended data leaks between tools.",[1386,1791,1792,1795],{},[808,1793,1794],{},"Two-way communication:"," Beyond handling requests, MCP allows servers to send asynchronous messages and even trigger model responses (for example, summarizing retrieved data), which enables richer interactions.",[835,1797,1799],{"id":1798},"milestones-of-leveraging-mcp","Milestones of leveraging MCP",[12,1801,1802],{},"Being honest, an AI that only knows what it was trained on isn’t truly helpful in a fast-moving world. Here’s why MCP is changing the game for everyone building, using, or trusting AI:",[1383,1804,1805,1811,1817,1823,1829,1835,1841],{},[1386,1806,1807,1810],{},[808,1808,1809],{},"Smarter answers, grounded in now:"," No more guessing or outdated responses. MCP lets AI assistants dip into live data, such as your store’s inventory, yesterday’s emails, or the status of “project X”, instead of just what they remember from training. Because they can check facts in real time, your AI’s answers get sharper, more relevant, and more trustworthy since LLMs' context awareness avoids hallucinations and irrelevant answers.",[1386,1812,1813,1816],{},[808,1814,1815],{},"From conversation to action:"," Imagine telling your AI to send a message, book a meeting, or crunch those numbers, and it just gets it done. MCP transforms AI from a clever talker into a full-on helpful agent. With easy connections via MCP tool calls, LLMs cannot only answer questions but carry out mutli-step, end-to-end duties, perform actions, automate tasks in an autonomous or semi-autonomous way, and take real steps—saving you time and mental energy.",[1386,1818,1819,1822],{},[808,1820,1821],{},"Developer-friendly by design:"," Old-school integrations required custom code for every tool and every update. MCP keeps things neat: one protocol, lots of tools. That means less time wrangling code, easier updates, and swapping in new apps or models without breaking the whole experience. For anyone building with AI, that’s faster development cycles and easier maintenance.",[1386,1824,1825,1828],{},[808,1826,1827],{},"Reliability and robustness:"," MCP acts as a middle layer, adding a level of fault-tolerance and consistency in tool usage. If something goes wrong, like a tool is offline or data isn’t in the right shape, MCP has error handling built in. Your AI can keep its cool, try alternatives, or let you know what’s up, all without missing a beat. That’s reliability you can count on.",[1386,1830,1831,1834],{},[808,1832,1833],{},"Cross-tool and multi-agent coordination:"," When multiple tools or AI agents need to cooperate, like in chain reactions where one action leads to another, MCP keeps everyone in sync. By speaking a shared “language” since all tools are accessed through the same protocol, different agents and tools can pass information, coordinate, and build on each other’s work. No more lost-in-translation moments, just smooth collaboration.",[1386,1836,1837,1840],{},[808,1838,1839],{},"Privacy, security, and compliance control:"," Sensitive data stays in your court. If your AI needs insights from private sources, MCP lets you keep those connections in-house, without involving third-party AI services, ensuring compliance, auditability, and granular control over access and approvals. This limits what the AI is allowed to do, and logs everything for peace of mind.",[1386,1842,1843,1846],{},[808,1844,1845],{},"Collaborative future:"," Best of all, MCP is more than a technical fix, it’s fostering the creation of a new shared ecosystem for AI connectivity. Like how USB standardized device connections or HTTP created the open web, MCP aims to create an AI “plug-and-play” world where innovation multiplies in a common layer. As more teams adopt MCP, the community grows, integrations increase, and everyone benefits.",[12,1848,1849],{},"At Empathy, we believe connections between people, data, and ideas are at the heart of better technology. MCP is helping make those connections smarter, quicker, safer, and more empathetic. Thus, it isn’t just a protocol; it's a bridge between AI's perception and practical execution, thus aligning insight with action. Because MCP is open and composable, innovation can move faster, experiments can go and evolve further without losing track and control of all of these evolutions.",[835,1851,1853],{"id":1852},"exploiting-the-unlimited-potential-of-mcp","Exploiting the unlimited potential of MCP ",[12,1855,1856],{},"MCP is already transforming real-world scenarios and inspiring new, more dependable use cases across industries. Whether it’s a multi-agent team working on a complex project, a retrieval-augmented assistant feeding your LLM up-to-the-minute insights, or a business process streamlined for both merchants and customers, MCP makes it possible:",[1383,1858,1859,1862,1865,1868,1871],{},[1386,1860,1861],{},"Multi-agent collaboration on complex business workflows that use shared MCP-connected tools, which promotes consistency and coordination, and reduces hallucinations, especially when agents operate on a single source of truth. ",[1386,1863,1864],{},"Real-time retrieval-augmented generation (RAG) for smarter, up-to-date answers that allow more strategic, flexible use of knowledge sources.",[1386,1866,1867],{},"Streamlined integration of AI on modular workflows that assist developers with code repositories, issue trackers and testing, CI\u002FCD systems, and documentation.",[1386,1869,1870],{},"Seamless business process automation—AI managing emails, calendars, and messaging.",[1386,1872,1873],{},"Elevated customer support thanks to service agents, with instant access to inventory, CRM, and order management tools to resolve support queries in real time.",[835,1875,1877],{"id":1876},"revolutionizing-backroom-with-ai","Revolutionizing Backroom with AI",[12,1879,1880],{},"We’re excited to announce our plans to implement MCP within our Backroom tool for Motive and Empathy Platform customers. Imagine an AI assistant dedicated to helping merchants, product managers, and analysts see the full picture of their business, not just analyze metrics. The roadmap for the MCP implementation in Backroom follows this thread: ",[1383,1882,1883,1889,1895],{},[1386,1884,1885,1888],{},[808,1886,1887],{},"Short term",": Seamlessly surface and explain analytics data directly within Backroom with an AI assistant that explains and visualizes this data in plain language.",[1386,1890,1891,1894],{},[808,1892,1893],{},"Medium term",": Offer proactive recommendations based on internal stats and merchant goals. An AI assistant that guides you on how to get the best of your business by boosting products, updating stock, and refining campaigns.",[1386,1896,1897,1900],{},[808,1898,1899],{},"Long term",": Empower the assistant to execute actions automatically, always with your previous consent. It could adjust campaigns, update product data, or schedule reports thanks to MCP-powered integrations with Backroom’s API.",[12,1902,1903],{},"We see MCP as more than tech; it’s the connective tissue for an ecosystem where AI works for you, not the other way around. As its adoption accelerates and our AI agents evolve, Empathy.ai will deliver experiences that are not only smarter but fundamentally more empathetic, envisioning a future where technology understands both your context and your goals.",{"title":22,"searchDepth":23,"depth":23,"links":1905},[1906,1907,1908,1909,1910,1911],{"id":1706,"depth":23,"text":1707},{"id":1723,"depth":23,"text":1724},{"id":1753,"depth":23,"text":1754},{"id":1798,"depth":23,"text":1799},{"id":1852,"depth":23,"text":1853},{"id":1876,"depth":23,"text":1877},"Discover how the Model Context Protocol (MCP) is transforming AI by making large language models truly context-aware and action-oriented by connecting AI assistants to any tool, API, or database.",{"label":160,"tags":1914},[785,461,766,556,767],"\u002Fen\u002Fblog\u002F2025-08-06-bridging-ai-and-empathy-capabilities-with-mcp","2025-08-07",{"title":1691,"description":1912},"en\u002Fblog\u002F2025-08-06-bridging-ai-and-empathy-capabilities-with-mcp","C__bECTTVgTUzwO6rdclKvFetC59OZRaCgXU72uvQFA",{"id":1921,"title":1922,"author":795,"body":1923,"categories":940,"description":2064,"extension":31,"image":2065,"layout":762,"link":45,"meta":2066,"navigation":39,"path":2068,"publishDate":2069,"seo":2070,"stem":2071,"subtitle":2072,"__hash__":2073},"blog\u002Fen\u002Fblog\u002F2025-07-30-genai-and-private-clouds-the-ultimate-allies-of-product-teams.md","GenAI and private clouds: the ultimate allies of product teams",{"type":9,"value":1924,"toc":2055},[1925,1928,1931,1935,1938,1941,1952,1955,1959,1962,1965,1976,1980,1983,1986,1990,1993,1996,1999,2002,2005,2008,2012,2015,2018,2022,2025,2039,2042,2046,2049,2052],[12,1926,1927],{},"Are you exploring how Generative AI (GenAI) could support your product development? Do you want to go beyond the hype and actually make GenAI work for your team, your goals, and your users?",[12,1929,1930],{},"At Empathy.ai, we believe the key lies not just in adopting GenAI as a tool, but in understanding how it reshapes the way product teams operate and deliver value. Therefore, we’ve designed our platform with that transformation in mind: privacy-first, cloud-agnostic, and tailored to the real needs of enterprise teams in e-commerce.",[835,1932,1934],{"id":1933},"why-product-teams-should-care-about-genai-especially-ours","Why product teams should care about GenAI, especially ours",[12,1936,1937],{},"Product teams work at the crossroads of user needs, business strategy, and technology. That means working with ambiguity, competing priorities, and fast-moving timelines. At Empathy.ai, we've started taking short steps that have had a great impact on our ways of working. ",[12,1939,1940],{},"Imagine the following scenario:",[1383,1942,1943,1946,1949],{},[1386,1944,1945],{},"A designer generating multiple UX instances with privacy-safe AI assistance.",[1386,1947,1948],{},"A product manager summarizing customer feedback directly within a private infrastructure.",[1386,1950,1951],{},"A developer using a private LLM to explore implementation options while protecting sensitive data.",[12,1953,1954],{},"With Empathy.ai, this is not a mere theoretical scenario, it’s reality that’s already in action.",[835,1956,1958],{"id":1957},"built-for-private-cloud-and-for-product-teams","Built for private cloud and for product teams",[12,1960,1961],{},"Unlike many AI applications, Empathy’s GenAI technology is designed to run in private cloud or on-premises environments, offering a level of control and security most product teams can only hope for with commercial models. ",[12,1963,1964],{},"Our initiatives are:",[1383,1966,1967,1970,1973],{},[1386,1968,1969],{},"Cloud-agnostic and extensible: Use your own infrastructure—AWS, Azure, GCP, or fully private. You're in control.",[1386,1971,1972],{},"Privacy by design: Our private LLM architecture uses secure vector databases, anonymization, and Retrieval-Augmented Generation (RAG) to ensure sensitive data is never unnecessarily exposed.",[1386,1974,1975],{},"Trusted by top brands: Retail leaders like Kroger, and Carrefour are already building next-gen, AI-powered search and discovery on our platform—without compromising on data governance.",[835,1977,1979],{"id":1978},"powering-genai-with-in-house-gpus-for-full-autonomy","Powering GenAI with in-house GPUs for full autonomy",[12,1981,1982],{},"At Empathy.ai, we’re also investing in running GenAI on in-house GPUs within private cloud infrastructure. Why? Because true independence from third-party providers isn’t just a technical preference, but a strategic advantage. By relying on our own hardware, we reduce risk, avoid downtime from external service outages from providers like R1 and Mistral, and ensure consistent performance. ",[12,1984,1985],{},"This infrastructure empowers us to innovate faster, fine-tune models securely, and guarantee availability even when hyperscalers face disruption. For product teams, it means peace of mind: no surprise service limits, no data exposure, just uninterrupted, secure collaboration with AI that’s truly under your control.",[835,1987,1989],{"id":1988},"where-genai-fits-into-the-product-workflow-and-how-empathy-makes-it-safer","Where GenAI fits into the product workflow and how Empathy makes it safer",[12,1991,1992],{},"Empathy.ai supports product teams across the full development lifecycle:",[12,1994,1995],{},"Discovery and research: Speed up analysis of voice-of-customer input, generate insights from secure internal datasets, and iterate on hypotheses—combining third-party LLMs and self-hosted GPUs.",[12,1997,1998],{},"Ideation and prototyping: Visualize UI variants, simulate conversation flows, or draft user stories—knowing everything is staying in your ecosystem.",[12,2000,2001],{},"Design and development: Generate error messages, placeholder content, and accessibility labels using LLMs with fine-tuned relevance to e-commerce and personalization.",[12,2003,2004],{},"Delivery and iteration: Write onboarding flows, microcopy, or release notes, securely and contextually.",[12,2006,2007],{},"These small boosts accumulate, unlocking faster iteration, higher alignment, and better decisions, without sacrificing control or compliance.",[835,2009,2011],{"id":2010},"a-mindset-shift-with-the-infrastructure-to-match","A mindset shift with the infrastructure to match",[12,2013,2014],{},"To truly harness GenAI, product teams need more than enthusiasm; they need a mindset shift and the right infrastructure. At Empathy.ai, we help teams see AI not just as a vendor tool, but as a collaborator, one that supports inclusion, cross-functional alignment, and deeper user understanding.",[12,2016,2017],{},"This is particularly powerful in organizations that prioritize data protection. Our model ensures that even non-technical team members can co-create with AI safely: copywriters can draft variants, analysts can summarize feedback, and designers can ideate—all within a secure environment that respects user trust.",[835,2019,2021],{"id":2020},"what-to-keep-in-mind","What to keep in mind",[12,2023,2024],{},"GenAI isn’t magic, and we’re not pretending it is. Here’s what we always tell our partners:",[1383,2026,2027,2030,2033,2036],{},[1386,2028,2029],{},"Validate AI outputs: LLMs still hallucinate.",[1386,2031,2032],{},"Set clear goals: whether it’s speed, clarity, or empathy in UX.",[1386,2034,2035],{},"Keep humans in the loop: bias is real, and so is human judgment.",[1386,2037,2038],{},"Don’t trade control for convenience: your data should remain yours.",[12,2040,2041],{},"Empathy’s GenAI technology was built from the ground up to support those principles. We believe in augmentation, not automation for automation’s sake.",[835,2043,2045],{"id":2044},"the-future-of-product-work-is-private-augmented-and-purposeful","The future of product work is private, augmented, and purposeful",[12,2047,2048],{},"The most successful product teams won’t just adopt GenAI; they’ll adopt it intentionally, in ways that support their own workflows, values, and goals. At Empathy.ai, we’ve built the foundation to make that future possible—without compromising people’s privacy.",[12,2050,2051],{},"So the question isn’t if GenAI fits into your workflow. The question is: How can you use it—safely, creatively, and purposefully—to build products that truly resonate with your users?",[12,2053,2054],{},"Let’s find out together.",{"title":22,"searchDepth":23,"depth":23,"links":2056},[2057,2058,2059,2060,2061,2062,2063],{"id":1933,"depth":23,"text":1934},{"id":1957,"depth":23,"text":1958},{"id":1978,"depth":23,"text":1979},{"id":1988,"depth":23,"text":1989},{"id":2010,"depth":23,"text":2011},{"id":2020,"depth":23,"text":2021},{"id":2044,"depth":23,"text":2045},"Discover how Empathy.ai empowers product teams with secure, private-cloud GenAI to boost creativity, speed, and control across the entire product lifecycle.","\u002Fassets\u002Fmedia\u002Fuploads\u002Fgenai.svg",{"label":160,"tags":2067},[785,461,766,556,767],"\u002Fen\u002Fblog\u002F2025-07-30-genai-and-private-clouds-the-ultimate-allies-of-product-teams","2025-07-30",{"title":1922,"description":2064},"en\u002Fblog\u002F2025-07-30-genai-and-private-clouds-the-ultimate-allies-of-product-teams","How privacy-first GenAI and flexible infrastructure are transforming product workflows—from discovery to delivery.","G-wyfBpQkcMIK4uTX7yeDDlbyh4WNmIJum7J4F2xpl0",348,10,0,1785752068012]