Claude

High-value knowledge work: search across private corpora, assisted drafting, triage and routing, forecasting from operational data, and agent workflows that reduce repetitive handoffs — always with measurable quality gates.

OpenAI, Anthropic, Google, and open-weight models (Llama, Mistral, and peers) behind a routing layer. Orchestration commonly uses Python/TypeScript with LangChain or custom graphs, Postgres/pgvector or managed vector stores, and OpenTelemetry for traces.

Guardrails on inputs and outputs, ACL-aware retrieval, offline and online evaluations, red-team scenarios for critical paths, and human approval for irreversible actions. Every production path is traceable.

Discovery is typically 2–3 weeks. A scoped MVP with evals and monitoring usually ships in 6–10 weeks, then we harden cost, latency, and coverage in continuous waves.

We design for your constraint: private VPC endpoints, self-hosted models, or approved SaaS with contractual controls. Data residency and retention are decided before the first training or retrieval pipeline lands.