PRIVATE LLM SOLUTIONS
Choose the capability your workflow needs: fine-tune an open model, train an agent in an executable environment, qualify its behavior, or serve an approved artifact inside your security boundary. Each stage preserves the model assets and evidence your team needs to own the result.
CAPABILITIES
Follow a capability to see its workflow, evaluation evidence, and deployment considerations.
Turn open models into owned, specialized skills with supervised fine-tuning and reinforcement learning.
Explore solutionTrain against typed workflows, hidden deterministic checks, and authoritative task outcomes.
Explore solutionCompare base and adapted policies on frozen held-out tasks before any promotion decision.
Explore solutionServe approved adapters and checkpoints inside your private cloud or on-premises environment for sensitive workloads.
Explore solutionWHERE TO START
Start with supervised fine-tuning to teach the behavior your workflow needs. Preserve a separate evaluation set, compare the adapted model with the base model, and keep the resulting adapter as a versioned asset.
Explore LLM fine-tuningUse a private training environment when an agent can take actions and receive feedback from native tools, tests, or simulations. Connect the workflow to GRPO and qualify the resulting behavior against hidden cases.
Explore AI training environmentsBegin with a frozen evaluation contract and review the exact artifact before promotion. Plan private serving around your data boundary, endpoint controls, capacity, latency, and operating cost.
Explore model qualificationPRIVATE BETA
We work with select teams on post-training, evaluation, and private model serving.
Request Demo