AI Capability, Measured at Work

Everyone has AI now. Efficiency still comes down to people.

Cadra measures that gap. Real-work simulations, scored as they happen. A development loop that closes it. For teams, for hiring, for universities.

[01 — HOW CADRA WORKS]
How Cadra works

Simulate. Develop. Validate.

A circular loop, not a one-time assessment. Each pass sharpens the signal.

01

Simulate

Browser-native work scenarios that capture how they configure, prompt, and decide in real time, beyond just the final output.

[PROCESS TELEMETRY ON]
02

Develop

Gaps identified, pathway assigned. Development curated to the exact gap, then re-baselined when complete.

[TEAMS + UNIVERSITIES]
03

Validate

Capability is demonstrated in the work itself. That signal feeds hiring, workforce planning, or curriculum outcomes.

[VERIFIED SIGNAL]
[02 — WHO USES CADRA]
Three models

Built for three different problems.

[ for teams ]

Know if your workforce is actually getting more done with AI.

Find where your teams gain from AI and where they're falling short, then target development to close the gap.

[ full-cycle ae ] [ key account manager ] [ revops manager ] [ bizops lead ]
[ for hiring ]

Hire on verified signal, not a checkbox on a CV.

Real-work scenarios with AI available, same as on the job. We score the quality of what candidates produce with it, and the judgment behind how they got there.

[ ai engineer ] [ data scientist ] [ ml engineer ] [ data engineer ]
[ for universities ]

Give graduates a verified AI readiness credential.

Assess cohorts against industry-aligned scenarios. Produce evidence employers can act on.

[ cs graduates ] [ mba cohorts ] [ engineering grads ] [ any placement-track cohort ]
[03 — WHY RETURNS VARY]
Why returns vary

Same AI. Very different returns.

AI is in every workflow. Structured use of it is rare. That difference is where the returns hide.

more likely to see significant ROI when AI investment is paired with structured capability building

The delta is the capability, not the tool. Cadra measures the gap and routes precise development to close it.

+40%

higher work quality when AI is used within its competence

Outcomes hinge on how AI is used, not whether it's available. That "how" is exactly what Cadra measures.

Billions

The biggest AI bills don't buy the biggest results — Meta and Uber are already capping budgets.

Spend without skill is waste. Cadra scores prompting, verification, and efficiency, so usage turns into output instead of cost.

95%

of enterprise AI pilots show zero measurable P&L impact

Cadra baselines your AI use, so before you spend you know what already works and where the gaps are.

[04 — SEE IT LIVE]
Early access

See Cadra in action.

A working session, not a sales call. 30 minutes, a real scenario, an honest read on whether this fits.

[[ EARLY PILOT · 30 MIN ]]
Join the early pilot Or get in touch