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Trust, but verify.

PlanckAI connects the models, prompts, knowledge, policies, evaluations, costs, and traces behind your AI in one control plane.

PlanckAi preserves the context behind an AI outcome, including prompt and model versions, retrieved knowledge, request traces, routing, latency, token usage, cost, and evaluation results.

PlanckAi gives teams a place to apply model access rules, sensitive-data controls, safety checks, and organization policies across the AI lifecycle.

Teams can compare prompts, models, configurations, datasets, and experiments against repeatable quality criteria, production feedback, and regression thresholds.

PlanckAi is built for engineering, product, security, finance, and governance teams that need a shared, verifiable record of how AI systems behave.