Kimpton AI
Kimpton AI is a YC Spring 2026 (P26) company. Based in San Francisco, CA, USA; Remote. Team of 5.
About Kimpton AI
Summary
Kimpton AI builds evaluation infrastructure for AI models and agents, offering live environments and behavioral benchmarks tested against every model checkpoint. Its products serve AI teams that need to measure how models plan, adapt, and recover across complex, long-horizon tasks, replacing ad hoc internal evaluation pipelines. Tools include EvalRouter, a CLI and API for routing benchmark runs across providers, and Koliseum, a service for building private environments and benchmarks against custom scoring criteria.
Business model
Pricing structure is not specified in the sources.
Go-to-market
AI and ML teams access EvalRouter directly via CLI or API in a self-serve model, while Koliseum private environment builds are initiated through a request-based engagement, targeting organizations evaluating proprietary model checkpoints.
From the Y Combinator listing
The IDE for Investors
In investment management, the final outcome isn't a deck or a memo. It's the trade. Kimpton is the AI-native research platform for portfolio managers. We're commoditizing the research layer and handing PMs data distilled into structured trades. The whole industry is fighting underperformance. Active managers trail their benchmarks, and capital keeps bleeding into passive. AI was supposed to fix that, but it hasn't. Funds either stitch together a dozen point tools or babysit general agents all day, and neither gets them to the trade. Kimpton goes straight to it. It ingests a fund's mandate, strategy, and positions. It runs them through our own harness and returns a structured trade proposal built for that fund. It connects to any institutional data source they already run on. And it's built to disagree, because consensus is poison for investment decisions. Instead of telling a PM what they want to hear, it surfaces the breaches and risks they'd otherwise miss. We're two ex-Goldman engineers and an ex-SpaceX engineer. We left to start our own quantitative systematic hedge fund. We raised $10M from a family office at 21 and 22, and scaled it to $35M over four years. We built Kimpton inside that fund, then productized the stack. We're live with our first institutional client, a $3.3B manager, and our first market is fundamental equity funds from $1B to $10B. Humans make the decisions. Kimpton does everything else.
Facts
- Fintech / Fintech -> Asset Management
- San Francisco, CA, USA; Remote
- 5
- Active
- Early
Founders (3)
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