Healthcare AI Data
De-identified, consented clinical language, medical annotation and health safety-evaluation data — DPDP-aligned and India-resident for healthcare AI you can deploy safely.
Why healthcare AI needs different data
Clinical AI breaks on real, code-mixed, accented health conversations
Triage bots, clinical scribes and patient copilots fail on the way people actually describe symptoms — code-mixed, accented, regional and often sensitive. Scraped or synthetic medical text is neither safe to deploy nor legal to train on.
We build the de-identified, consented, expert-annotated clinical data that healthcare AI needs to be safe, accurate and compliant — across language, medical annotation and safety-evaluation — for the under-served languages of the Global South, where clinical data is scarcest and the safety stakes are highest.
The healthcare data stack
One accountable partner across the clinical AI lifecycle
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Clinical language data
De-identified patient–clinician dialogue and medical speech across Indic languages.
See datasets -
Medical annotation
Symptom, medication, negation and clinical-entity annotation with clinician sign-off.
Annotation -
Health safety & evaluation
Native-authored red-team and evaluation sets for clinically-sensitive, culturally-specific harms.
Safety & Eval -
Sovereign health data
India-resident collection, de-identification and storage, DPDP-aligned — the compliance backbone for clinical AI.
Sovereign Data
Governance first
PHI-safe, consented, DPDP-aligned — by design
Every clinical record is collected with explicit written consent from patient and clinician, then rigorously de-identified to remove direct and quasi-identifiers under a documented SOP. Collection, de-identification and storage are performed within India, aligned with the DPDP Act, 2023, and internationally governed to the stricter of local law or a GDPR-equivalent standard.
All healthcare data is delivered strictly as training and evaluation data — never a medical device, and never a claim of clinical accuracy or efficacy. See PII scrubbing and Sovereign Data.
FAQ
Healthcare AI data — common questions
- How is patient data (PHI) handled?
With explicit written consent and rigorous de-identification under a documented SOP, validated by an independent reviewer. Collection, de-identification and storage occur within India, aligned with the DPDP Act, 2023.
- Do you cover code-mixed and accented clinical speech?
Yes — consented clinical dialogue and speech across Indic languages and accents. Browse healthcare datasets or commission a custom corpus.
- Is the data safe to train and deploy on?
Yes. All healthcare data is consented, de-identified and delivered strictly as training and evaluation data — never as a medical device or a claim of clinical efficacy. See PII scrubbing and Sovereign Data.
Building healthcare AI for real Indian clinics?
Tell us your clinical use case and compliance requirements — we'll scope a de-identified, consented data plan with documented evidence.