Governing AI, wisely.
We make data AI-ready, build compliance into the workflow, and keep both improving. Governance as a practice, not a project.
Pillar One
Make data AI-ready.
Clean, classified, traceable data — the foundation that lets AI be evaluated, explained, and defended.
- Data Readiness Assessment
- Lineage & Provenance
- Catalog, Classification & Access
- Vectorization & Embeddings
Pillar Two
Compliance built in, not bolted on.
Compliance belongs inside the workflow, not at the end of it. Backed by working products — our screening tool is live today.
- Screening & Watchlist Compliance
- Governance Program Design
- Workflow-Embedded Controls
- Model Assurance & Public Reporting
Explore compliance by design →
Pillar Three
Iterate fast. Improve continuously.
Tight feedback loops, safe rollouts, and continuous improvement — built for environments where failure has real consequences. That includes disciplined token management: controlling cost, latency, and context boundaries so your models stay efficient at scale.
- CI/CD for AI Systems
- Feedback Loop Design
- Safe Rollouts & Rollback
- Managing Tokens
Position
Clean data and embedded controls aren't overhead. They're what makes AI trustworthy.
On AI-ready data A model is only as defensible as the data it was built on.
On compliance by design Controls that live in the workflow get used. Controls that live in a binder don't.
Sectors
Where we work.
Federal civilian
CIO · CDO · CAIO
Defense
DoD · Defense-tech
Healthcare
Clinical · Claims
Financial services
Model risk · BSA
Critical infrastructure
Energy · Water · Transit
Contact
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