Impact

Traction you can verify, not numbers we made up

Every figure below is read live from our production database and refreshes every five minutes. Aggregate only — no patient data, no PII.

Registered on the app

Physicians who created an account on DataLaps and declared their country and specialty. Not everyone here has finished credential review yet.

0
Registered physicians
0
Countries on sign-up
0
Specialties declared

Credentialed network & clinical work

Physicians who passed our credential screening and are active in the network, plus the blind verdicts they have contributed on training cases.

0
Credentialed physicians
0
Countries represented
0
Medical specialties
0
Blind clinical verdicts
0
Cases reaching consensus
0%
Avg. inter-physician agreement

Live — read directly from our production database, refreshed every 5 minutes. No PII, aggregate only.

What each number means

Behind the metrics

Registered vs credentialed

Registered physicians have an account on DataLaps. Credentialed physicians passed our multi-stage credential review and are active in the network. The gap between the two is normal — not everyone who signs up has finished verification yet.

Verified physicians

Licensed MDs who passed multi-stage credential screening — document review, identity and human verification. Not an anonymous crowd pool.

Countries & specialties

The breadth of the network: how many countries our physicians practice in and how many distinct medical specialties they cover.

Blind clinical verdicts

Every independent verdict a physician has cast on a training case — each one blind, seeing no other reviewer. This is the raw material of consensus.

Cases reaching consensus

Cases that gathered enough independent verdicts to pass our defensible sample threshold — the part of the dataset that is sellable ground truth today.

Inter-physician agreement

Average agreement across those consensus cases. High agreement is what makes the dataset defensible in front of a lab or a regulator.

Next step

Put these numbers to work on your data

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