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AI-Native Investment Research
Kimpton is Cursor for portfolio managers, an AI-native terminal where agents do the research and propose the trades. It was built by two ex-Goldman engineers and an ex-Vistra Energy engineer who left to start a quantitative systematic hedge fund with $10M raised from a family office at the ages of 21 and 22 years old. They scaled it to $35M at peak over four years, and productized the technology stack they ran it on. Portfolio managers spend most of their day on work that isn't investing: filings, earnings prep, 13Fs, peer benchmarking, thesis validation, trade writeups. Kimpton runs all of it autonomously and delivers structured Trade Proposals with full rationale, written as diffs to the portfolio and fitted to each manager's mandate and strategy. It is built to disagree. Most AI flatters the user, and consensus is poison for investment decisions. Kimpton is grounded in the firm's own mandate, thesis, and positions, so it surfaces breaches and risks the PM would otherwise miss instead of telling them what they want to hear. Risk profile, style, and constraints live in plain-text mandate.md and strategy.md files that drive every analysis the system performs. The rest of the desk sits alongside: Deep Research cited to source, natural-language Dashboards, Agentic Charting and Backtests, scheduled Skills for recurring workflows, and auto-generated Reports. Coverage includes FactSet pricing, fundamentals, estimates, transcripts, ownership, and M&A data, plus live prediction markets from Polymarket. Humans make the decisions. AI does everything else.
Kimpton is an AI-powered research platform designed for buy-side firms, providing AI-driven research, trade proposals, and morning intelligence personalized to a portfolio. It targets hedge funds, family offices, and RIAs, and is backed by Y Combinator. The platform consolidates multiple data sources and workflows to generate tailored trade ideas and analyses for portfolio managers.
Kimpton ingests positions, P&L, and cost basis from connected custodians or direct uploads, then organizes and references investment mandates, theses, and research during recommendation generation. Each morning, it delivers trade proposals tailored to the user’s book, with source citations and actionable details. The platform covers data such as equities, fundamentals, sell-side estimates, SEC filings, insider trades, 13F holdings, earnings transcripts, M&A activity, options, news, mandates, and internal documents, all with real-time or regularly updated data and an emphasis on grounding every answer in the user’s actual holdings.
Who it’s for: Portfolio managers at hedge funds, family offices, and RIAs who require AI-assisted investment research and daily trade proposals grounded in their own holdings and mandates.
Backed by Y Combinator; platform with real product features and documented use cases; public demo requests mentioned
Co-founder and founding engineer at Kimpton AI (YC P26). Building the IDE for investing. Before YC, I was a founding engineer at Level III Capital, where I architected systematic trading systems for digital assets.
Co-founder & CTO of Kimpton AI (YC P26). Building the IDE for investors. Before YC I Co-founded Level III Capital as CTO & Co-CIO, architecting systematic trading systems in digital assets. I started my career as a DevOps Engineer on the critical infrastructure team at Goldman Sachs (Marcus).
Co-founder, CEO @ Kimpton AI (YC P26). Building the IDE for investors. Previously I co-founded and ran quantitative systematic trading strategy at Level III Capital. Before that, detection engineering at Goldman Sachs.
AI-native terminal where agents do the research and propose the trades
Kimpton is an AI-native terminal for portfolio managers that combines market data, firm strategy, and holdings to generate trade proposals through AI agents, which managers review and challenge. Deployed on billions in assets.
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