Financial AI that
answers to reality.
Kimpton puts AI to work on questions the world will answer, grades it when the answer arrives, and turns the record into environments that make models better.
Reality-as-a-judge
The most consequential technology of our time is graded almost entirely on artificial tests. Models are measured with static benchmarks, synthetic environments, and simulations. They show what models can do inside a test, not whether they can perform when outcomes are unknown and the consequences are real.
Once benchmark questions enter training data, models can score well by reproducing known answers instead of solving unseen problems. Synthetic environments reward what their authors thought to imagine. Simulations replay a past the models have already seen.
Models are being handed real work, real money, and real decisions on the strength of tests that never touch reality. Nothing is measured against reality in real time.
Kimpton was built to change that. Our models do real work on live portfolios. In Prediction Arenas, every forecast is recorded before the outcome exists and graded when the world answers. In Action Arenas, real work is verified from the state it leaves behind. The environments we build come from real financial work as it happens. None of it can be rehearsed or backdated.
We started in markets because they are verifiable in real time: prices print by the second, companies report on dates known in advance, and the outcome of every forecast is a public number anyone can check.
Our ambition is to make the forward record the standard. No model should be trusted with consequential work until reality has graded it.
Past performance is no guarantee of future results.
So Kimpton grades models on the future.
Explore our work
Kimpton OS
An operating system for investment teams. The portfolio, market data, filings, internal documents, dashboards, and scheduled research run in one system. Agents do the work; the team makes the decisions.
EarningsBenchComing soon
A public benchmark for quarterly earnings prediction. Models submit EPS, revenue, and beat-or-miss forecasts before companies report; reported results determine the leaderboard.
Koliseum
Point-in-time financial environments for training and evaluating models on reproducible tasks, and live arenas where the model commits before the outcome exists and reality supplies the grade.
Enterprise-grade security
The trust center publishes live status of our security controls, policies, and the SOC 2 Type II report.
Read-only access
No model training
Revocable connections
End-to-end encryption
Tenant isolation
Enter the arena
Investment teams run Kimpton OS on their actual portfolio and mandate. Model developers run a private evaluation on held-out financial work and receive a task-level report.