for Every Clinic, Every Community, Every Country.
Proprietary AI for scalable, affordable diagnostics—designed for primary care systems across India, Africa, Southeast Asia, and other underserved regions.

Unlock the Advantages
Saambavi Labs develops proprietary AI models trained on Indian clinical and diagnostic data to deliver accurate, timely, and cost-effective healthcare solutions.
Our platform:
Accelerates diagnosis and triage across PHCs, small labs, and mobile clinics
Minimizes diagnostic errors with multimodal analysis (X-ray, cough, symptoms, pathology)
Integrates seamlessly into existing rural and semi-urban workflows
Scales affordably to support government and private health missions
With Saambavi, every clinic—no matter how remote—can deliver modern, AI-enabled diagnostics.

Faster Diagnostics at the Frontline

High Accuracy, Trained on Local Data

Affordable, Scalable, Rural-Ready
From Bharat to the Global South: Diagnostics Without Borders
We build diagnostic AI for health systems with the greatest need—rural India, sub-Saharan Africa, Southeast Asia—scalable, affordable, and tailored to local challenges. We don’t just build technology; we design for accessibility, affordability, and action—so that even the most underserved populations receive timely and accurate care.

Solving Global Health Gaps with Locally Trained AI.
Why Saambavi? Local AI. Global Impact.
Saambavi Labs builds proprietary, multimodal AI tools tailored for real-world conditions—rural PHCs, small clinics, and underfunded labs across the Global South.
Our platform is: Designed for primary care in India, Africa, and Southeast AsiaTrained on real-world data across diverse health contexts
Offline-capable, multilingual, and doctor-assisted
Built for scale, connectivity constraints, and affordability
Traction & Impact
We’ve tested our platform where it matters most—on the ground with real doctors, clinics, and data. Pilots completed across Primary Health Centers in India 1,500+ patients screened using Saambavi’s AI models 89%+ accuracy in TB and liver disease detection Validated for scale across Southeast Asia and African settings Interoperable with government systems and low-connectivity clinics=