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.