Map your engineering org's real AI fluency
Every eng leader is blind on who's actually good at AI-assisted development. Point the same instrument that scores candidates at your own teams — with consent — and get a living map of fluency and skill gaps.
From hiring tool to eng-org platform
The instrument you use to hire, pointed at your team
Development, not surveillance. Turn behavioral signal into a team-level view leadership can act on.
AI-fluency map of your org
See which teams turn AI into leverage and which rubber-stamp its output — from force-multipliers to over-reliant, by team.
Skill gaps, trended over time
Spot patterns like "high delegation, low verification discipline" on a team, and measure whether targeted development actually moves the needle.
Answer the AI-tooling ROI question
The question no one can answer today: are your AI coding tools actually paying off, by team? Now you can see it.
Built for trust
Employee monitoring done responsibly
This only works if your engineers trust it. So we designed it to be aggregate-first, consent-gated, and employee-visible from day one.
Consent-gated, off by default
Nobody is measured without an active consent record. Capture is opt-in, tenant-isolated, and fails closed without it.
Aggregate-first, k-anonymized
Dashboards default to team-level views with small-team suppression. Individual drill-down is a separate permission and is audit-logged.
Shapes, not content
We capture how work happens — cadence, iteration, tooling — never keystroke content. Employees can view, export, and revoke.
Know where your AI-fluency really stands
A team-level map of how your engineers work with AI — trended over time, built on consent.