Section 03 · 03 — R&D
From the field
Diagnostic models built for our population.
Lede
A research lab building clinical AI on Saudi and GCC data — because most existing models weren't.
Most published clinical AI is trained on European, North American, and East Asian cohorts. The anatomy, disease prevalence, and presentation in Saudi and the GCC are different — sometimes meaningfully. Our R&D arm partners with hospitals and academic groups to build diagnostic models on our own data, with our own clinicians in the loop.
§01 · Thesis
How we frame this arm
The data gap, in one paragraph
Thyroid nodule classifiers trained on East Asian cohorts. Capsule endoscopy lesion detectors trained on European populations. Manometry interpretation models trained on Chicago Classification cohorts that are 90% non-GCC. When we deploy these into a Riyadh hospital, calibration drifts in ways nobody publishes. We'd rather close that gap than pretend it isn't there.
- 01Custom-trained models on GCC patient data, in partnership with Saudi hospitals and faculty.
- 02Clinically grounded — every project has a physician owner from day one.
- 03Open to research partnerships, IRB collaborations, and clinical validation studies.
§02 · Active across
Selected fieldwork
Each area maps to one or more active engagements — deployed product, hospital pilot, or research collaboration. Specifics are shared with partners under conversation.
§04 · Get in touch
We reply within 48 hours
Partner with us.
R&D collaborations are research partnerships — IRBs, faculty co-investigators, and shared publications.
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