Authority needs a Chain of custody.

We build the institutional memory your AI fleet runs on.

Agentic systems in production author their own operating context: notes, rules, and memory that downstream agents execute as instruction. A single correction propagates into standing policy. Agent inference gets recorded as operator intent. Activity logs certify work that never ran. All of it unapproved, and compounding.

We impose provenance on that layer. Every instruction your agents execute carries an owner, an approval, and an audit trail, and every control is verified against the exact models you run in production.