AI Fund co-founder summit

Frontier ’26

A day with fellow AI Fund co-founders and partners on what's next and how to build for it.

Agenda

The lineup

Thursday, October 15

Ristorante Don Giovanni (235 Castro St, Mountain View)

  1. Casual dinner

Friday, October 16

Fenwick (801 California St, Mountain View)

  1. Breakfast and registration

  2. Opening remarks and session: best practices for building and running AI-native teams

    Andrew Ng, Managing General Partner, AI Fund

    Andrew opens the day with how the best AI-native teams are structured and run, and what that means for how you hire, organize, and ship.

  3. Founder-to-founder speed networking

    Structured 1:1 rotations, five minutes each. You'll meet as many fellow founders as possible early, so the rest of the day builds on those conversations.

  4. The next 12 months on the frontier: what to prepare for

    Diyi Yang, Assistant Professor, Stanford University

    A forward-looking view of where AI capabilities are heading, covering efficiency gains, multi-model orchestration, the convergence of open-weight models, and physical AI, and what founders should be preparing for now.

  5. Lunch

  6. Scaling test-time compute in internal operations and product features

    Eli Chen, Technology Partner, AI Fund

    AI capability is increasingly shifting into test-time compute. Eli covers what that shift means for how you run your internal workflows and how you design customer-facing features.

  7. From pilot to contract: closing enterprise deals as an AI startup

    Fireside chat with Andy Ku, Partner, AI Fund, and Kirsty Tan, General Partner, AI Fund Growth Fund

    Many AI startups land a successful pilot and then stall before the contract. Andy and Kirsty walk through the common traps between pilot and signature and how to avoid them.

  8. Boba break

  9. Topic roundtables

    Small-group conversations with your peers and AI Fund partners. Bring a question or a hard problem you're stuck on, and hear from someone in the room who has already solved it. Each table is limited to about 12 people and is facilitated by an AI Fund partner.

    • VC fundraising with Andy Ku
    • Selling into enterprises with Kirsty Tan
    • Technical topics with Eli Chen and Suraj Phanindra

    Seats are assigned in order of sign-up, and all conversations are held under the Chatham House Rule.

    Reserve your roundtable seat
  10. Happy hour, until 6:00 pm

Speakers

Who’s on stage

  • Andrew Ng

    Andrew Ng

    Managing General Partner, AI Fund

    AI-native teams

    Bio

    Andrew Ng is Managing General Partner at AI Fund, founder of DeepLearning.AI, executive chairman of LandingAI, and an adjunct professor at Stanford University. A pioneer in machine learning and online education, he was the founding lead of the Google Brain team, which led Google’s drive to adopt modern AI, and VP and chief scientist at Baidu. He is also chairman and co-founder of Coursera, has taught more than eight million people AI, has authored over 200 papers, and was named to the Time100 AI list in 2023.

  • Andy Ku

    Andy Ku

    Partner, AI Fund

    From pilot to contract

    Bio

    Andy leads the AI Fund team that incubates and co-founds new startups alongside founders in residence and corporate partners. Previously, he was a partner at IQT, investing in and sitting on the boards of startups on behalf of the U.S. government. He led product marketing for LinkedIn’s job seeker business, founded a job-matching startup, and started his career on Google’s product team. He also served as a White House Fellow at the Department of Labor, leading AI-driven workforce initiatives.

  • Diyi Yang

    Diyi Yang

    Assistant Professor of Computer Science, Stanford University

    The next 12 months on the frontier

    Bio

    Diyi leads the Social and Language Technologies (SALT) Lab at Stanford, where her research focuses on human-centered AI, large language models, and human-AI interaction. She was previously on the faculty at Georgia Tech and earned her PhD in Computer Science at Carnegie Mellon University. She is a Sloan Research Fellow, Microsoft Research Fellow, and a Kavli Fellow of the National Academy of Sciences.

  • Eli Chen

    Eli Chen

    Technology Partner, AI Fund

    Scaling test-time compute

    Bio

    Eli works with founders in the AI Fund studio to build products on accelerated timelines using rapid engineering techniques. He was an early engineer at iGware, which scaled to power hundreds of millions of Nintendo devices, then joined Netflix’s early streaming team and helped scale Twitter through its IPO. He later co-founded AI Fund portfolio company Credo AI, where as CTO he helped pioneer the AI governance category. He holds an EECS degree from UC Berkeley and multiple patents in streaming media and AI model assessment.

  • Kirsty Tan

    Kirsty Tan

    General Partner, AI Fund Growth Fund

    From pilot to contract

    Bio

    As general partner of AI Fund’s Growth Fund, Kirsty shapes investment decisions and opens enterprise channels for portfolio companies. She also leads AI Aspire, helping organizations build lasting AI capability from the C-suite down. She began her career at KPMG, founded her own consulting firm, and served as international dean and professor at École des Ponts ParisTech and Tsinghua University, designing EMBA programs in future technology and aerospace.

Venue & logistics

Getting here

Thursday dinner, 5:30 pm

Ristorante Don Giovanni

235 Castro St
Mountain View, CA
Open in Maps

Friday summit, from 8:00 am

Fenwick

801 California St
Mountain View, CA 94041
Open in Maps

Parking

Space at Fenwick is very limited. Validation, guest spots, or a nearby public garage TBD. We recommend rideshare or Caltrain if you can.

By train

Fenwick is a 10-minute walk from the Mountain View Caltrain station. Thursday's dinner at Don Giovanni is on Castro St, just steps from the station.

Recording

What’s recorded, and what isn’t

The main-stage sessions will be recorded and shared publicly afterward. The rest of the summit is not recorded and follows the Chatham House Rule: you're free to use what you hear, but not to share who said it or where they work.