Evaluation infrastructure for models and agents.

Live environments and behavioral benchmarks, run against every checkpoint.

Backed by

Models learn from experience.

Kimpton runs models inside environments and records the resulting trajectories for evaluation and training.

Model
Environment
Trajectories

Kimpton

Trainer
New model

The new model returns to the environment.

We make it easy for you to evaluate models and agents

EvalRouter

Run benchmarks and environments across providers through a CLI or API. Choose a model route or connect your own OpenAI-compatible chat endpoint.

Select a versioned evaluation and review compatibility and cost before running. Export scores and reports as JSON, CSV, or HTML.

Read the EvalRouter docs

Koliseum

We build private environments and benchmarks to evaluate your models. Define the task and scoring, then compare checkpoints using outcomes and recorded trajectories.

Long-horizon tasks

Measure planning, memory, and recovery across extended action sequences.

Multi-agent evaluation

Test strategic adaptation and coordination when agents share an environment with private observations.

World models

Our research examines action-conditioned predictions of future state, separately from an agent’s ability to complete a task.

Learn more

Adaptive environments

Run your model in generative environments with persistent world state. Scored results adjust the mix of validated tasks and difficulty levels.

Generated events must satisfy explicit rules before they change world state. Independent graders score the recorded observations, actions, and outcomes.

Discuss adaptive environments

Industries

These domains require decisions under uncertainty and feedback that arrives over time. Our work spans private evaluations and applied research.

Finance

Can models make sound financial decisions as markets change?

Life sciences

Can models make biological predictions that hold up in experiments?

Physical systems

Can models predict the consequences of their actions in the physical world?

Enterprise workflows

Can models reliably carry complex work through to completion?

Cybersecurity

Can models defend systems against threats they have never seen?

Energy

Can models meet energy demand while managing cost and reliability?

Commission a benchmark or environment.

Define the capability or workflow you need to evaluate. We work with you to specify the tasks, scoring, and validation criteria, then build the environment or benchmark around them.