Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
HAI Startup Series | Stanford HAI

HAI Startup Series

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Overview

Stanford HAI is excited to cultivate an ecosystem of AI-focused entrepreneurs by bringing together Stanford-affiliated startups and a committee of AI experts. Bimonthly virtual events will feature introductions, presentations by two or three companies, and deep conversation among the founders and the committee. Other events will take place on an ad-hoc basis.

Introducing the HAI Startup Series

The HAI Startup Series is a bimonthly forum for Stanford-affiliated early-stage companies to gain mentorship, exposure, and feedback from leading figures in the venture, business, and academic worlds. The program aims to accelerate the commercialization and impact of AI research in Stanford’s community across and beyond campus.

Carving Out a New Niche in Stanford’s Startup Ecosystem

The HAI Startup Series joins Stanford’s rich entrepreneurial ecosystem as yet another pathway for early-stage companies to accelerate their growth alongside existing programs such as Lean Launchpad and Startup Garage. This series is unique in its deep focus on artificial intelligence, diverse cohorts (students and alumni from across Stanford), and mix of expertise spanning industry, venture, and academia.

How to Apply

Spring Sessions and Deadlines
Wednesday, October 29 - Submission deadline October 1
Wednesday, December 17 - Submission deadline November 26


If a company is not selected to pitch at the next eligible Startup Series, it is automatically considered for future editions.

Apply Now

Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs

Total time: One hour

  • Teams give short presentations in turn about their companies and highlight the primary areas where they would appreciate input (~10 min per team)

  • Our panel, made up of folks from our faculty, investor, and industry community, provides feedback and discussion (~10 min per team)

  • Three teams typically present in each session, and introductions are facilitated afterwards.

As the HAI Startup Series grows and scales, we will increasingly focus on community building around cohorts of participants.

The HAI Startup Series Committee selects the startups that will present, and includes both Stanford faculty and guests from HAI’s investor community.

Confirmed Stanford faculty include:
Russ Altman
Russ Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science | Associate Director and Senior Fellow, Stanford HAI | Professor, by courtesy, of Computer Science
Erik Brynjolfsson
Jerry Yang and Akiko Yamazaki Professor | Senior Fellow, Stanford HAI | Senior Fellow, SIEPR | Professor, by courtesy, of Economics; of Operations, Information & Technology; and of Economics at the Stanford Graduate School of Business
Curt Langlotz headshot
Curtis Langlotz
Senior Associate Vice Provost for Research | Professor of Radiology (Integrative Biomedical Imaging Informatics), of Medicine (Biomedical Informatics Research), of Biomedical Data Science | Senior Fellow, Stanford HAI
Chris Manning headshot
Christopher Manning
Thomas M. Siebel Professor of Machine Learning in the Departments of Linguistics and Computer Science | Associate Director and Senior Fellow, Stanford HAI
Chris Re
Associate Professor of Computer Science, Stanford University
Melissa Valentine
Associate Professor of Management Science and Engineering, Stanford | Senior Fellow, Stanford HAI | Co-Director of Science of Work, Technology, and Organization (WTO), Stanford



VC/Investor Committee members include:
Niko Bonatsos
Managing Director, General Catalyst
Jonah Cader
Partner, Lightspeed Venture Partners
James Cham
Partner, Bloomberg Beta
Kanu Gulati
Partner, Khosla Ventures
Sarah Guo
Founder and Managing Partner, Conviction
Ansaf Kareem
Founder and Managing Partner, Latitude Capital
Asad Khaliq
General Partner, Co-Founder, Acrew Capital
Rob Toews
Partner, Radical Ventures
  • Access “no strings attached” mentorship and guidance from academic and industry leaders in AI, as well as some of the world's most successful VCs.

  • Join a community of HAI Series participants with access to mixer events and opportunities to join relevant HAI programming

  • Community: Your founding team must include at least one current or recent (last 5 years) affiliate of the Stanford community, whether a student, faculty member, post-doctoral researcher, alumnus, etc.

  • Product: The company must focus on artificial intelligence in some core way. The main product should be AI-focused, AI-enabled, or contribute to the AI ecosystem and stack ( data, compute, etc.)

  • Stage: Companies that are Series A or earlier may participate.

At the beginning of each quarter, HAI will open an application form (see above) for the Startup Series events to be held that academic term. While applicants may apply at any time; a new selection process will take place for each Series event. Those selected to present (2-3 teams per Series) will be notified and asked to confirm their participation in the Series. 

Applications are reviewed by the HAI Partnerships Team and HAI Startup Series Committee. They are evaluated on four primary dimensions:

  • Basic eligibility: Whether the company meets the criteria described above

  • Quality: The quality of the submitted application materials, including evidence of business or technical traction (revenue, patents, published papers, pitch competition wins, etc.)

  • Innovation: The novelty of the technology, application, or business model

  • Relevance: The relevance of AI to their ideas and business model

For additional information, please contact Ahmad Rushdi.