Introducing the Applied Compute Agent CloudRead more
Training

Build your model factory

Turn your data into better, faster, and cheaper models you own.

The full stack for model customization

Launch with a single command

Select a model, dataset, environment, and grader. Start from any open model, and swap it as better ones ship.

Watch your model as it trains

Live monitoring, evals, and token level metrics for every run. Spot regressions automatically with our research agent, Ari.

Optimize toward your evals

Calibrate rewards to your specific product KPIs and domain expertise.

Online Training

Train with real production traffic, so your model gets better the more it's used.

Frontier post-training

Run experiments on less compute, iterate faster, and achieve higher performance

Bring your own harness.Your agent's learning environment should be faithful to production. Train inside the harness you already run.

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Fully asynchronous RL.Our research on low-precision training recipes, high-throughput long-context inference, and fully async RL makes every run efficient and stable.

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Full parameter fine tuning at frontier scale.Train multi-trillion parameter models with zero setup. Scale to thousands of GPUs without managing a cluster.

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Continual learning with self-distillation.Methods like OPSD learn directly from non-replayable production traces so usage automatically becomes training signal.

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Your AI research agent

Spend less time operating the research loop with Ari, applied research intelligence. Run iterative experiments automatically.

Ari watches the same metrics your researchers do and alerts you the moment a run drifts then fixes the config and relaunches.

Start training today

State-of-the-art on your benchmarks, at a fraction of frontier cost, and yours to keep.