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Source profile checked Oct 27, 2026 · snapshot exported Nov 4, 2026. Importing has not reverified these facts. Original sourced profile ↗
What they do
Description
Checked Oct 27, 2026Protege licenses data from hundreds of partner organizations, curates it and de-identifies health records, and licenses the resulting datasets to AI developers for pre-training, post-training and evaluation across healthcare, video, audio and speech, and spatial and physical data. It also runs independent, double-blind evaluations of healthcare AI models on de-identified patient records.
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What they offer
Checked Oct 27, 2026Training data, Evals and benchmarks
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Type of work
Checked Oct 27, 2026Medical, Creative, Robotics and physical, Multi-domain
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Delivery formats
Checked Oct 27, 2026Datasets, Managed service
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Public samples and benchmarks
Checked Oct 27, 2026See sources (2)
Named customers
Checked Oct 27, 2026Siemens Healthineers
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Home - Protege ↗
Original fact status: listed. Check date is separate from import time.
Data handling and security
SOC 2 statement
Checked Oct 27, 2026Not found publicly
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No public source was supplied for this value.
Original fact status: not_listed. Check date is separate from import time.
Trust center
Checked Oct 27, 2026Not found publicly
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No public source was supplied for this value.
Original fact status: not_listed. Check date is separate from import time.
Other certifications
Checked Oct 27, 2026Not found publicly
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No public source was supplied for this value.
Original fact status: not_listed. Check date is separate from import time.
Where it runs
Checked Oct 27, 2026Not found publicly
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No public source was supplied for this value.
Original fact status: not_listed. Check date is separate from import time.
Data sources
Checked Oct 27, 2026Licensed real-world data
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Exclusivity
Checked Oct 27, 2026Non-exclusive only
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Confidentiality practices
Checked Oct 27, 2026Protege says all healthcare datasets are de-identified before being made available, that expert determination is run on all healthcare data it delivers along with third-party certification of the de-identification, that its terms bar customers from attempting to re-identify records, and that in its evaluations model builders do not see the de-identified patient data or test questions in advance.
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Company information
Headquarters
Checked Oct 27, 2026New York, United States
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Founded
Checked Oct 27, 20262024
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Company size
Checked Oct 27, 202651-200
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Latest funding
Checked Oct 27, 2026Series A extension, $30M, January 2026
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Total funding
Checked Oct 27, 2026$65M
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