Live from the NYSE, Algolia CEO Stephen Lynch joined NYSE Live to discuss how AI is transforming search and ecommerce, and how retrieval intelligence is powering smarter, more personalized discovery. From our partnership with Orange to the growing importance of product intelligence and trusted AI, Stephen shared what’s next for the future of search. Catch the full interview from the NYSE trading floor ⤵
Algolia
Software Development
Palo Alto, California 76,594 followers
Algolia is the leading AI Search & Retrieval platform, powering 1.75T+ searches a year for 18K+ businesses worldwide.
About us
Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact.
- Website
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https://www.algolia.com
External link for Algolia
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- API, Search, Discovery, Personalization, SaaS, eCommerce, Composability, Recommendations, Browse, AI, MachineLearning, Keyword Search, Vector Search, AI Search, and AI Retrieval
Products
Algolia
Enterprise Search Software
Rapidly create and scale AI-powered search and discovery across websites and applications. Algolia is fast, customizable and secure.
Locations
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Primary
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3790 El Camino Real
Unit #518
Palo Alto, California 94306, US
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55 Rue d'Amsterdam
Paris, Paris 75008 , FR
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450 Broadway
5th Floor
New York, NY 10013, US
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Get directions
14 New Street
London, England EC2M 4RT, GB
Employees at Algolia
Updates
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The biggest barrier to agentic commerce might not be the AI. It might be the UX. In ecommerce, where you place AI features can be just as important as what they can do. From product discovery to product comparisons, the right experience meets shoppers where their intent already exists. The latest Ecommerce AI Pulse Newsletter explores how UX design shapes engagement with agentic AI and what retailers should consider when building smarter shopping experiences:
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Horror classics, cult favorites, and your next Halloween obsession are all waiting to be discovered. Just in time for Halloween, we're bringing movie discovery to life with Spooky Movie Search, an interactive experience powered by Algolia. Explore horror classics, discover new favorites, and find your next movie night pick with intuitive discovery. Built with Algolia, Next.js, and Vercel, this interactive demo brings the power of intelligent search and seamless discovery to life, turning a vast collection of horror movies into an engaging, intuitive experience. Search if you dare: https://lnkd.in/eKVBVHWH
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From advancing AI innovation to making B2B commerce smarter, Algolia is making headlines. Here’s a look at our latest media coverage: Forbes recognized Algolia as one of the AI tools industry leaders are using to build, innovate, and drive business value: https://lnkd.in/esXxCB6Y Practical Ecommerce highlighted Algolia’s native Shopify B2B integration in its roundup of new ecommerce tools: https://lnkd.in/gQnuH_qV Retail Rewired covered JD Sports Fashion’ move toward more flexible, agentic commerce and how the retailer is leveraging Algolia to power its evolving digital experiences: https://lnkd.in/euYAtMXz
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Stop putting every AI agent in a chat window. The best agentic experiences meet users where intent already exists. Agentic search can start in more places than chat. The right entry point depends on user intent, context, and the experience you’re trying to build. The latest Hashing It Out: AI Newsletter breaks down the entry points for agentic search and how to choose the right one for your experience:
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175% more conversions. Same iconic Crocs. A smarter way to shop. For Crocs, transforming product discovery meant more than just helping shoppers find the right shoes. It meant making search faster, smarter, and easier to manage across global markets. But what does it take to get there? We’re breaking down 4 principles behind Crocs’ AI-powered search success, from scaling search globally to giving merchandising teams more control. Swipe through for the key takeaways, and get the full story in the comments.
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We're joining Contentstack at #ContentCon2026 in Chicago! Get ready to discover how brands can turn the content they already have into smarter, more personalized digital experiences. Together, Contentstack + Algolia bring intelligent content and AI-powered discovery together, helping brands understand customer intent, surface the right information, and turn every interaction into an opportunity to engage. 📅 October 27–28 | 📍 Chicago, IL Connect with our experts at ContentCon → https://lnkd.in/ewbnG-UB
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What does the future of shopping look like when AI agents are in control? Algolia's Chief Ecosystem Officer Piyush Patel is taking the stage at Gartner IT Symposium/Xpo 2026 to unpack the rise of autonomous shopping. In his session, “The Autonomous Shopper: How AI Agents Decide What Customers Buy,” Piyush will explore how AI agents are reshaping product discovery, why trusted business data matters, and what brands can do today to prepare for the next era of commerce. 📍 Orlando, FL | October 19–22 Attending #GartnerSYM? Stop by booth # 1003 to meet the Algolia team and see AI Retrieval Intelligence in action. Learn more and connect with us in Orlando: https://bit.ly/4ynbEYU
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AI experiences will only succeed if customers and businesses trust them. That means prioritizing security, providing transparency into how the technology works, and giving brands meaningful control over the experiences they deliver. On BBC Talking Business, Algolia CEO Stephen Lynch discusses why human oversight remains essential as AI adoption grows. Watch the clip and see the full BBC News interview: http://bit.ly/45ivOHk
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As AI agents move from answering to acting, guardrails become non-negotiable. But effective guardrails go beyond telling an agent what not to do. They need to be built into how agents reason, retrieve, and take action. In the latest Hashing It Out: AI Newsletter, we explore how agentic guardrails work, where to apply them, and why human oversight still matters. See what it takes to build AI agents you can trust ⤵
