The right deployment depends on your data, your compliance requirements, and your economics. We help you make the decision with data, not dogma — and architect the system to evolve as your needs change.
cost reduction at scale
on-prem latency
data exposure on-prem
deployment flexibility
Structured evaluation across 12 dimensions: data sensitivity, latency requirements, compliance mandates, cost at scale, team capability, and more.
Multi-provider strategy across OpenAI, Anthropic, Google, and AWS Bedrock. Automatic failover, cost optimization, and vendor diversification.
NVIDIA GPU clusters, optimized inference stacks, model serving with vLLM and TGI. Your data never leaves your network.
Intelligent request routing: sensitive data stays on-prem, experimental workloads use cloud APIs. Same orchestration layer for both.
Detailed TCO analysis comparing cloud API costs vs on-premise infrastructure investment. Break-even analysis for your specific workload.
Start cloud, move on-prem as volume grows. Or start on-prem and add cloud for burst. Architecture that supports both directions.