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Join us at Databricks to network with top AI founders & engineers & hear from leaders at Meta, Databricks, 1Password, & You.com on how to build & scale enterprise AI agents in production.
Through a featured fireside chat & three fast-paced lightning talks, we'll explore how search is evolving, why AI agents struggle in production, how post-training improves model performance, & what it takes to build AI systems people can trust.
Dinner will be served.
Agenda
5:00-5:30 PM Networking & Dinner
Meet fellow AI engineers, founders, researchers, & technical leaders over dinner.
5:30-6:00 PM Fireside Chat: From Prototype to Production: Building AI Agents People Can Trust
Nancy Wang, Chief Technology Officer, 1Password
Saurabh Sharma, Chief Product Officer, You.com
Nancy & Saurabh will explore how companies can move AI agents from promising prototypes into production while maintaining security, reliability, human control, & user trust.
6:00-6:30 PM Lightning Talks
From Keywords to AI Agents: The Evolution of Search
Mariane Bekker, Head of Developer Relations, You.com
Founder, Founders Bay
A fast-paced look at how search evolved from directories & keywords to semantic retrieval, generative answers, & intelligent agents-and what this shift means for developers.
Why AI Agents Fail in Production
Srivardhan Jalan
Engineering Leader, Meta
An engineering-focused look at the gap between an impressive AI demo & a dependable production system, including reliability, orchestration, evaluations, & scale.
Beyond Pretraining: How RL & Evals Improve AI Models
Ryan Hu
Applied Research, Mercor
Ryan will explain how reinforcement learning, evaluation systems, & high-quality training data are shaping post-training & helping models perform more reliably in real-world environments.
From Demo to 1B Users: The Eval & Infrastructure Stack Behind Meta's Stories GenAI Launch
Royston Monteiro
Engineering Leader, Meta
Royston will share how GenAI systems can scale from an early demo to billions of users, focusing on the evaluation, infrastructure, & engineering challenges involved in building reliable AI products at massive scale.
Zairah Mustahsan, Engineering Manager, You.com
Amey Banarse, Field Engineering Leader, Databricks
6:30-8:00 PM Networking
Continue the conversation & connect with speakers, builders, founders, & AI leaders from across the Bay Area.
Who Should Attend
AI & machine learning engineers
Software engineers & engineering leaders
Founders building AI-native companies
AI researchers & data professionals
Product leaders working on AI systems
Builders interested in search, agents, RL, evaluations, & post-training
About You.com
You.com is the leading AI search infrastructure built for developers.
Our APIs help developers build intelligent agents & applications powered by live, factual information from the web, news, & research. With just a few lines of code, teams can provide their LLMs with current, citation-backed results instead of relying exclusively on static training data.
By registering, you agree to our Event Terms & Consent & additional terms below:
Additional terms
By registering for & attending this event:
You agree that Founders Bay, You.com, & their event partners are not responsible for claims related to your participation, to the fullest extent allowed by law.
You agree to receive event updates & other communications from Founders Bay & the event co-hosts. You can unsubscribe at any time.
You agree to Founders Bay's Terms of Service & Privacy Policy.
You understand that photos & videos may be taken during the event & used for marketing.
You agree not to record sessions or private conversations without permission.
You understand that your registration information may be shared with Founders Bay & You.com for event communications.
You understand that the organizers may refuse entry at their discretion.
You.com is the leading AI search infrastructure - built for developers.
Our APIs let you build intelligent agents & applications that use live, factual data from the web, news, & research, in real time.
With just a few lines of code, you can power your LLMs with up-to-date, citation-backed results instead of static training data.
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