Datasets
Task sets with deterministic, versioned exports.
rolloutBeta · v0.1
Run rollouts. Verify outcomes.
Train better agents.
Rollout is a platform for evaluating and improving AI agents. Define task sets, sandbox the environment, capture every trace, and turn the results into training data — all in one place.
Datasets & traces
Build the dataset once. Use it forever.
Define tasks, attach verifiers, version them like code. The same dataset feeds today's eval and tomorrow's RL run.
Verifiers
Deterministic checks, LLM judges, or your own scoring fn.
Traces
Every step of every rollout — replayable and queryable.
Files
Attach artifacts to tasks, runs, and exports.
Live preview
Datasets, traces, environments, and agents — under one workspace.
Roadmap.txt
What is shipping next.
Soon
- Hosted RL training loops — point at a dataset, get a fine-tuned policy back
- Semantic trace search and run-to-run diff
- Verifier authoring from natural-language task descriptions
Later
- Public gallery of community environments and datasets
- Multi-agent rollouts with shared world state
- On-prem and air-gapped deployments
$ rollout init
Ready to roll out your first agent?
Book a 20-minute demo, or jump straight in and try it yourself.