Serval Start
Future founders are forged, not found
Serval Start is a two-year program for exceptional builders and technical talent at the beginning of their company-building journey.
Applications close May 24, 2026
Hands-on workshops led by our
leaders and investors
Jake Stauch
CEO and Founder of Serval
Christine Kim
Head of Strategic Projects at Serval
Bill Trenchard
Partner at First Round
Greg Rosen
Partner at BoxGroup
Anas Biad
Partner at Sequoia
Patrick Chase
Partner at Redpoint
Build Real AI Systems for the World's Largest Enterprises
Deployed Software Engineers
Operate as technical leads on Serval's most strategic engagements. Design and build new products and features that extend Serval's capabilities in enterprise environments.
Deployed Software Engineers
Operate as technical leads on Serval's most strategic engagements. Design and build new products and features that extend Serval's capabilities in enterprise environments.
"Most founders struggle to find the right problem. At Serval, you'll see them firsthand."
An Unfair Advantage as a Future Founder
Enterprise AI Experience
Build production AI agents and new products for some of the world's largest companies.
Accelerated Equity
Earn Serval equity with accelerated vesting on a two-year schedule while developing your founder skills.
Exceptional Network
A tight-knit group of approximately 12 builders — your future co-founders, advisors, and lifelong network.
Workshops
Hands-on sessions hosted at Serval HQ and investor offices —
covering PMF, fundraising, recruiting, product design, and how to identify great
startup ideas.
Field Studies
Visits to major enterprise customers and offsites to New York and London to build relationships with the broader tech and investment community.
Investor Relationships
Build lasting relationships with leading investors across the Serval ecosystem and beyond.
Apply to the Inaugural Cohort
The cohort will consist of approximately 12 participants.
We encourage applications from technical builders across a wide range of backgrounds, disciplines, and experience levels. Strong candidates have experience building software systems and are excited to deploy AI in real-world environments.