Architecture
A control plane (policy, routing, audit) and an inference plane (frontier APIs, open-weight models, your fine-tunes). Both deploy onto AWS Bedrock, Azure OpenAI, GCP Vertex, or on-prem GPU clusters.
Model selection
We benchmark frontier and open-weight models against your tasks, not someone else's. The mix that runs in production is the one that wins on your data, your latency budget, your cost ceiling.
Fine-tuning
Your proprietary corpus, fine-tuned into a model you keep. The weights live with you. The training run is reproducible. The data never leaves.
Routing & policy
Per-query model selection by tier, sensitivity, latency, and cost. Failover paths are explicit, not magic. Every route is policy-enforced and logged.
A working session, not a sales call.
Two hours with a partner. We map your AI spend, data exposure, and governance posture against a sovereign reference architecture. You leave with a memo. We leave with a decision.