For hospitals.

The AI coming into your hospital should learn from your cases and be judged by your clinicians.

How it works.

Revenue share and paid evaluation work flow back to partners.

Partner institutions
Cases
Data already on your servers.
Calador
De-identification
Faces, voices, on-screen text and metadata removed.
Model makers
Model training
Licensed to approved model makers for training and evaluation.
Partner institutions
Revenue
A revenue share on every license.

Revenue from cases you've already done.

The cases are done. The outcomes are known. The footage is on your servers. We bring it to the companies that need it and pay you when they use it.

Licensing: We pair video with clinical context, including op notes, imaging, labs and medications. You earn a revenue share on every license, and the same dataset can be licensed again.
Clinical evaluation: Labs need clinicians to define tasks and grade results. Your surgeons can be paid as expert reviewers, and your institution can anchor the benchmarks the field uses.
Targeted collection: When models fail on a case type, we commission new data from the partners who have it. One contribution becomes an ongoing program.

Your video. Your terms.

You license limited rights. You don't sell your data, and you keep ownership.

Before anything leaves your building, we agree on

Which procedures, dates and surgeons are included
How it's de-identified: faces, voices, on-screen text and metadata removed
Sign-off from your IRB, compliance and legal teams
Permitted uses: AI training and evaluation only
Anything you mark out of bounds
Retention and deletion

Buyers can't re-identify, link, redistribute or publish it. We never name a partner without written permission.

How a partnership runs.

ScopePick procedures and participating surgeons.
ReviewIRB, compliance and legal sign-off.
De-identifyWe curate, mask and enrich the video.
LicenseDefined uses, approved model makers.
ImproveClinician-graded evaluation and ongoing monitoring of the models.

Built to clear review.

HIPAA: De-identified under HIPAA before licensing. BAA available.
SOC 2 Type II: Audited controls across our infrastructure and vendors.
Encryption: AES-256 at rest. TLS 1.3 in transit.
Approved model makers only: Contractually barred from re-identification, linkage and redistribution.

Questions partners ask first.Can't find your answer? Join the waitlist and we'll get back to you.

Is it secure?

Yes. Video is de-identified before licensing, encrypted at rest and in transit, and handled under HIPAA with a BAA. Our controls are audited under SOC 2 Type II. Only approved model makers can license data, and they are contractually barred from re-identifying, linking, redistributing or publishing it.

Is this selling patient data?

No. Video is de-identified before licensing, and you grant limited rights for AI training and evaluation. You keep ownership.

What gets removed during de-identification?

Faces, voices, on-screen text and metadata are removed before anything is licensed. You sign off on the process.

Does anything leave our building before we approve it?

No. Before anything leaves your building we agree on which procedures, dates and surgeons are included, permitted uses, anything out of bounds, and retention and deletion terms.

Do our IRB, compliance and legal teams get a say?

At every step. We start with your requirements and build the program around them.

Who sees our name?

No one, unless you choose to be credited on the benchmarks you help build. We never name a partner without written permission.

What if we want out?

Retention and deletion terms are agreed up front. Leaving is as clear as joining.

What does it cost us?

Time to scope and review the program. Curation, de-identification, enrichment and contracting are on us.

How do we get paid?

You earn a revenue share on every license. The same dataset can be licensed again. Your surgeons can also be paid as expert reviewers for clinical evaluation work.

Who can license the data?

Only approved model makers, for defined uses: AI training and evaluation.

Interested? Get in touch.

Get in touch