Systems that reached production, and stayed there.

Running in production on AWS

Storm Intel, by ExoVzn

ExoVzn’s Storm Intel platform correlates federal radar, satellite, and ground-report data into audit-ready hail and wind damage evidence for contractors, public adjusters, and forensic engineers. We designed and built it as a serverless-first platform on AWS, built from ECS Fargate services, Multi-AZ Amazon RDS for PostgreSQL on Graviton2, and a daily unattended pipeline, with narrative generation and signal detection running on Amazon Bedrock in a LangGraph workflow. It is engineered so a quietly wrong answer never ships silently: no silent retry, no automatic Region failover, a Lambda circuit breaker in front of the model calls, and full audit trails at every step.

“They built Storm Intel to fail loudly rather than hand back a confidently wrong answer. No silent retries, no quiet degradation. That discipline is what makes the output defensible in forensic work. And when a Bedrock control-plane change broke our legacy endpoint, the fix shipped end to end in four days.”

Chad T. Williams, P.E., D.F.E., Chief Science Officer, ExoVzn