Case Study - Modernizing a regulated data platform with AI workflows
Built a compliant data pipeline, hardened APIs, and shipped AI-assisted workflows with clear guard rails.
- Client
- Unseal
- Year
- Service
- Backend, AI features, platform modernization
Overview
Unseal needed to evolve from a prototype into a compliant, reliable platform for sensitive records. They also wanted AI-assisted workflows without risking data exposure or unpredictable costs.
We rebuilt the core services with security and observability defaults, then layered AI features with clear controls and evaluations. The team gained speed without sacrificing safety.
What we did
- Platform audit and redesign
- API hardening
- AI-assisted search
- Logging and monitoring
- CI/CD and release management
They treated AI as production software: guard rails, observability, and a clear plan for change.
Head of Engineering, Unseal
- Faster release cadence
- 4x
- API error rate reduction
- 38%
- Lower infra spend
- 25%
- Logged AI interactions
- 100%