Use cases Model freedom
Model agnosticism and infrastructure freedomSide-by-side model testing, native cloud connectivity, and no vendor lock-in.
Local open weights and commercial frontier models run side by side, so you can compare accuracy, latency and cost on your own workloads. Connect the enterprise cloud accounts you already have — AWS Bedrock, Azure OpenAI, Google Vertex AI — to satisfy compliance and use existing credits without changing the pipelines underneath.
Models change every quarter. Swapping the model behind an agent is a configuration change, not a migration.
Run the same task against a local open weight and a frontier API and read the real accuracy, latency and cost difference.
Bedrock, Azure OpenAI and Vertex AI connect directly, which keeps procurement and existing credits intact.
Local engines and cloud endpoints sit in the same model registry.
Data classification decides which model each agent is allowed to call.
Token accounting per call makes the cost of a switch visible before you make it.