Managed
OpenAI
GPT-4o · o-series · Realtime · Assistants
We stand up private OpenAI deployments on Azure, tune the routing between models, and instrument every call so cost and quality stay predictable.
AI Operations
Ship AI you can put on a status page.
We treat OpenAI and Claude the way we treat databases: version-controlled, observed, budgeted and on-call. Not a demo — a system.
Managed
Claude
Claude Sonnet · Opus · Haiku
For long-context reasoning, tool use and agentic pipelines. We operate the Bedrock and Vertex integrations and the safety layer around them.
The AI operations stack
Every layer we install for teams running LLMs in production.
L1
Prompt engineering
Versioned prompts, structured outputs, retrieval strategy.
L2
Evaluations
Regression-tested against golden datasets on every deploy.
L3
Guardrails
Content, PII, jailbreak and tool-use safety layers.
L4
Cost caps
Per-tenant budgets, model routing, cache and batch strategy.
L5
Observability
Traces, spans and quality scores in the tools you already use.
L6
Model routing
Right model for the job — automatically, and auditable.
62%
Median inference cost reduction after routing + caching
10x
Faster prompt regression cycles with our eval harness
0
Production incidents caused by unshipped guardrails