Track vitals. Manage medications. Understand your body — in your language, with sovereign AI that never leaves India.
Three structural failures prevent India from accessing the AI it needs — and they compound each other.
A mid-size Indian hospital pays $2–5M per year to American corporations. US firms offer 90% cloud credit subsidies — not as philanthropy, but as infrastructure capture. When subsidies end, the dependency will remain.
Indian defence and strategic institutions are legally prohibited from transmitting sensitive data to foreign servers. GPT-4 is unavailable by protocol. DeepSeek is Chinese. There is no compliant, competent AI alternative for classified environments.
Every production AI model uses O(N²) attention. As context doubles, compute quadruples. At 1M tokens: 10¹² operations per layer. Quantisation, caching, and distillation are band-aids — none change the mathematical complexity class.
"We cannot build an intelligent India on infrastructure we do not own." — KINSU AI LABS founding thesis
Sparrow replaces the transformer's key-value cache with an O(1) constant-memory mechanism — the first working implementation of this kind, clinically validated on Indian medical data, deployable on a hospital server without cloud or GPU infrastructure.
Built on Sparrow's sovereign AI engine, the KINSU app gives patients and families a continuous health companion — in their language, on their device, with their data staying in India.
Smart reminders, missed dose alerts, and upcoming doctor visit management for the whole family.
Daily tracking of blood sugar, blood pressure, heart rate, and chronic symptoms — the kind of longitudinal data hospitals never capture.
Powered by Sparrow — clinical-grade insights in Hindi and four other Indian languages, without sending data to any foreign server.
On-device AI inference and India-hosted cloud. Full data sovereignty — because your health story is yours.
Understanding before innovating — every stage produced a concrete empirical finding that justified the next.
Two years ago, pre-training a competitive language model required proprietary datasets accessible only to the largest labs. Today, FineWeb, DCLM, Sangraha, and AI4Bharat datasets are public.
The IndiaAI Mission has committed ₹10,372 crore to GPU infrastructure. The compute is coming. The models to run on it need to be Indian.
The window to build sovereign AI infrastructure is open right now — and it closes every quarter that Indian institutions deepen dependency on rented foundations.
We watched Western AI labs deny API access to Indian research institutions on export control grounds. We watched defence establishments turn away from AI because no compliant option existed.
One of our founders navigated a family member's liver cirrhosis diagnosis with no accessible specialist, no AI that spoke the right language, no model trained on Indian patient populations. That is the foundation of KINSU.
We could not wait for someone else to build this.
IISc Bangalore graduate and innovation expert. Proven in creating solutions for complex ecosystems and leading cross-functional teams building at the intersection of research and product.
Cross-domain builder spanning MedTech, Robotics, and EV systems. Trained at AIIMS–Stanford Biodesign in clinical need discovery. Drives product, execution, and real-world deployment at scale.
Expert in scaling applications to enterprise scale, with hands-on experience with the latest technological advancements in AI infrastructure, distributed systems, and deployment pipelines.
Whether you are a hospital, a research institution, a government body, a cloud partner, or an investor — we want to hear from you.
We work with
We respond within 24 hours.