Birchblue Information

Most AI projects die between the demo and production. Birchblue engineers the layer that gets them across. We build governed autonomous systems — the Agentic Development Lifecycle, enforced decision rights, tamper-evident audit trails, and hard cost ceilings. Then we hand them over, with the runbooks and the training your team needs to operate them without us. WHAT WE BUILD • ADLC Platform Enablement — your review gates were designed for human authorship. We make them executable: agent CI/CD with worktree isolation, policy-as-code release gates, and telemetry your engineers can actually read. • Agentic Systems Engineering — hierarchical multi-agent orchestration, evaluation harnesses treated as infrastructure, structural safety at the protocol boundary. • AI Governance & Readiness Audit — four weeks. Your AI surface, model spend, control gaps, and shadow usage, mapped and prioritised. Board-ready risk brief, mapped to NIST AI RMF and EU AI Act obligations. • AI Cost Governance — runaway token spend is an architecture defect. Tiered model routing, hard budget ceilings, per-call ledgering. • Custom Software Engineering — React, Angular, Python, PHP, Kubernetes. Production delivery since 2019. • Managed AI Operations — someone has to own the agents at 3am. WE ARE CUSTOMER ZERO AAQuant is our reference implementation: an autonomous quant research system that takes a strategy hypothesis from ideation to a statistically gated verdict in a median of 3.66 days, at a research cost of $0.88 per verdict — against an industry norm of analyst-months. Every one of its 13,228 model calls is ledgered by model, token count and cost. 98.4% unattended uptime across 30 days. It is in paper trading. We publish its operating metrics, not performance claims. HOW WE WORK Fixed scope. Declared gates. Named outcomes. One client engagement at a time — that constraint is why our dates hold. Headquartered in Stamford, Connecticut, with an engineering centre in India.