Start from the role, not the résumé
Paste a live job description and get a weighted readiness blueprint — the exact skills, at the depth the role actually demands. Every signal downstream is measured against this, so you're never assessing in the abstract.
Turn the gap into one number
Adaptive, proctored assessment resolves each candidate or cohort into a verifiable readiness score against that blueprint — not attendance, not a completion bar. You see who can perform before anyone is on a project.
Close the gap at scale
Governed cloud labs and structured tracks target exactly what the diagnostic named — 1,000+ concurrent learners, spend capped and attributed per batch. The same profile updates as people improve, so progress is measured, not assumed.
Demand proof, not multiple choice
Capstones and hackathons with AI code review capture how a person actually ships — correctness, code quality, architecture, deployment. The signal no test can reach, written back to the same passport.
Deploy on evidence — then check yourself
A think-aloud technical screen produces a per-role deployability score with a tuned cut-off. Feed on-the-job outcomes back in and the cut-off calibrates — so “ready” keeps meaning ready, quarter after quarter.