How do you measure ability with AI everywhere?

Cadra is a platform that builds, runs, and scores real work done with AI. Evidence you can hire, train, or place on.

See how it works

AI-enabled people perform measurably better.

+40%better work quality when AI is used within someone's competence
2×the ROI when AI investment comes with capability building

The cost of inefficiency

Billionsin excess AI spend78%of IT leaders report unexpected AI chargesand budgets are now being capped

The difference is problem solving: understanding a scenario and guiding AI through it the right way.

Cadra measures that, on real scenarios.

Cadra platform screen showing a furnished simulation with data, deliverable, and deadlineCadra platform screen showing a live working session being capturedCadra capability report with composite score and dimension breakdown

Simulate. Cadra simulates a real work scenario, built around the skills being measured.furnished simulation

Three ways to use one platform.

For Hiring

YouJD opensRole, seniority, and pass bar. Configured once.
Cadra platformAssessThe platform builds a role-specific task from your JD and scores every applicant on it. Reports in four days, every score cited.
Add-onInterviewOptional: a first round driven by the report, probing what it flagged.
YouDecideR2 and fitment are yours. Managers meet validated candidates, evidence in hand.
Roles live todayai engineerforward deployed engineerdata scientistml engineerdata engineerqa engineerfullstack engineer

“Who out of this pool can do the job, and who's close enough to get there?”

For Hiring
Cadra runs thisYour stepOptional add-on

Three agents, on a learning engine.

Each one writes, reads, or scores, and every run makes the next one sharper.

Assessment Agentwrites

Writes a real-work simulation from the role: data, deliverable, deadline.

In
The role: JD, seniority, and what good looks like.
Does
Writes a role-specific simulation: data, deliverable, deadline, and budget.
You
Review and finalize before anyone sits it.
Capture Agentreads

Reads the working trail and checks it is authentic.

In
The candidate's prompts, edits, decisions, and submission trail.
Does
Checks the trail is authentic and extracts the moments Scoring will need.
You
Nothing during the run.
Scoring Agentcites

Scores process and output on your rubric, citing a moment for every score.

In
Capture's insights plus the final submission.
Does
Scores process and output on the role rubric. Every score cites a moment.
You
Make the call from the report, evidence attached.
Learning Enginepersona knowledge · feedback · improves from every run
Monitoring AgentFuture · watches live work

Built to survive an audit.

Every line of every report traces to a moment in the session: a prompt, an edit, a test result. The person assessed can challenge any score and see the evidence behind it.

  • Evidence behind every score
  • Every line traceable
  • Any score can be challenged

Trusted by startups across the spectrum

From live pilots

Outcomes so far.

Spread

20–30 pts

the spread between using AI and using it well, same task, same rubric

People assessed

300+

across live pilots, from a single hire to a full college cohort

Hours given back

~150 hrs

of engineer screening time returned so far, about 19 working days

See it run on a real task.

Thirty minutes. We run a scenario and tell you whether it fits.

Join the early pilotOr get in touch