Orchestration & Deployment

We stitch it together and keep it running

We connect your AI models — across cloud, on-premise, and edge — into a coherent, cost-optimized, and auditable production system. Routing logic that puts the right query in front of the right model. Deployment infrastructure that gets models live across cloud, on-premise, and edge hardware. OTA updates that reach edge device fleets reliably. Continuous monitoring that detects accuracy drift before users notice. And a compliance audit trail that satisfies model risk governance without extra work on your team.

What's Included

• Orchestration architecture design: routing logic, RAG pipeline, context management, fallback chain
• Hybrid routing across cloud APIs, on-premise model servers, and edge inference runtimes
• Cost optimization: route to cheaper models where accuracy permits — cloud inference bill reduced
• Production deployment to cloud, on-premise, or edge hardware — health checks and initial benchmarks included
• OTA update pipeline for edge device fleets: atomic updates, staged rollout, automatic rollback
• Continuous monitoring and drift detection: alerts when model accuracy drops below threshold
• Version management and rollback: full model version registry for compliance documentation
• Managed operations retainer: ongoing management of the full production lifecycle