Top Healthcare AI Startups in India (2026 List)

India now has 120+ startups building AI into healthcare, and most of them are barely two years old. That’s the interesting part – this isn’t a mature market yet, it’s still being built, which means the list below will look different a year from now.

Qure.ai, Niramai, and SigTuple get the headlines because they were early. But the ones worth watching in 2026 are working in genomics, maternal health, and hospital operations – categories that didn’t have a single funded AI startup five years ago.

Here’s the full list, grouped by what they actually do (not alphabetically, because that tells you nothing).

Quick answer: 20 top healthcare AI startups in India

Funding figures marked “Undisclosed” weren’t publicly confirmed as of this writing – check the company’s own site or Tracxn before citing them elsewhere.

How we built this list

We pulled from public funding databases (Tracxn), startup award recognitions (DigitalHealthNews), and each company’s own product pages to confirm what the AI actually does – not just what the press release claims. Startups made the cut if they had a live product, at least one disclosed funding round or public hospital deployment, and a clear AI component (not just a digitized workflow).

We grouped them by clinical use case instead of alphabetically, because “top healthcare AI startups” isn’t a useful search if you’re actually trying to find, say, a diabetes-management platform versus a radiology tool. Different buyers, different questions.

1–6. Diagnostics and imaging AI

Qure.ai is a Mumbai-based startup, founded in 2016 by Prashant Warier and Pooja Rao, that builds deep-learning models to read X-rays and CT scans. Its qXR product flags tuberculosis and other lung conditions and is deployed across public health screening programs in India and abroad.

SigTuple automates pathology. Its AI-powered smart microscopes scan blood, urine, and tissue samples and flag anomalies for a human pathologist to confirm – cutting the manual review time that bottlenecks most Indian diagnostic labs.

Niramai takes a different angle on cancer screening: thermal imaging plus machine learning to detect early signs of breast cancer without radiation. No mammogram, no physical contact – which matters in a country where screening stigma keeps women away from traditional tests.

Tricog Health reads ECGs and cardiac scans remotely. A clinic without a cardiologist on staff can upload a scan and get an AI-assisted, physician-verified read back in minutes – relevant for tier-2 and tier-3 hospitals that can’t afford a full-time specialist.

AiKenist, founded in 2019, builds an AI radiology suite (QuickScan and QuickRad) aimed at cutting interpretation turnaround time in resource-constrained radiology departments, with newer work on AI-accelerated MRI enhancement.

RadpicsAI works on the operational side of diagnostic imaging – less about the algorithm reading the scan, more about the workflow that gets scans to the right radiologist faster.

7–11. Hospital operations, EHR, and data platforms

Innovaccer is the one you’ll hear about first if you talk to hospital administrators. It’s reached unicorn status by building a “Healthcare Intelligence Cloud” that pulls EHR, payer, and lab data into one layer, mainly for large health systems moving to value-based care.

HealthPlix builds EMR software specifically for how Indian physicians actually practice – quick note-taking, prescription generation, and follow-up reminders, without the bloat of enterprise hospital software built for a different market.

Dozee monitors patients without wearables. Bedside sensors track heart rate, respiration, and sleep, and the AI flags deterioration before a nurse would catch it on a routine round – useful in ICUs and for post-discharge home monitoring.

Eka Care combines an AI-powered EMR with patient-facing engagement tools, aiming to be the connective layer between what a doctor documents and what a patient actually understands about their own care.

Doceree applies AI to healthcare marketing – matching pharma and health brand messaging to physicians based on specialty and prescribing behavior, which is a narrower niche than most names on this list but a real one.

12–13. Maternal and women’s health

Janitri, founded in 2016 by Arun Agarwal, builds indigenous fetal and maternal monitoring devices designed for Indian hospital conditions rather than imported equipment built for a different infrastructure baseline. It’s now integrated into public health systems, including a recent collaboration with the Assam government.

HeyDoc AI, founded in 2020 by Dr Navneet Tyagi and Mrinal Tyagi, focuses on AI-assisted clinical documentation – the unglamorous but very real problem of doctors spending more time typing notes than seeing patients.

14–15. Genomics and oncology

HaystackAnalytics applies computational genomics to infectious-disease testing, a category India has historically underinvested in relative to imaging and pathology AI.

Oncostem Diagnostics uses AI to predict breast cancer recurrence risk from tumor biology, helping oncologists decide who actually needs chemotherapy versus who can safely skip it.

16–20. Chronic disease and preventive health

HealthifyMe pairs an AI coach (“Ria”) with human nutritionists for weight management and diabetes prevention – the hybrid model is the point, since pure-AI coaching apps have a well-documented adherence problem.

BeatO bundles a smart glucometer with an app and virtual coaching for diabetes management, aimed at continuous glucose logging rather than the once-a-quarter HbA1c check most patients default to.

Sugar.fit goes further, combining continuous glucose monitors with AI-driven coaching aimed at diabetes reversal, not just management – a distinction that matters for pre-diabetic users trying to avoid medication altogether.

Wellthy Therapeutics builds digital therapeutics – structured, evidence-based coaching programs for diabetes, cardiovascular disease, and obesity, deployed through insurers and hospital systems rather than sold direct to consumers.

Biopeak is newer to this list and works in preventive and longevity-focused health AI, a category that’s just starting to get funded in India as the wellness market matures past fitness tracking.

Frequently asked questions

Which is the biggest healthcare AI startup in India by funding? 

Innovaccer, at $375M raised, is the largest by disclosed funding among startups on this list, and the only one to reach unicorn status.

What problems are Indian healthcare AI startups actually solving? 

Mostly three things: a shortage of specialists (radiologists, cardiologists, pathologists) relative to patient volume, delayed diagnosis in tier-2/tier-3 cities, and the cost of manual, paper-based hospital workflows.

Are these startups regulated by India’s medical device rules? 

AI diagnostic tools that make clinical claims typically need to go through India’s Central Drugs Standard Control Organisation (CDSCO) approval process, same as any other medical device software. Check each company’s regulatory disclosures directly if this matters for your use case.

Is Qure.ai the same as Niramai? 

No. Qure.ai reads radiology scans (X-ray, CT) for conditions like TB and stroke. Niramai screens for breast cancer using thermal imaging. Different modality, different disease focus.

Which of these startups work with government health programs? 

Qure.ai and Janitri both have documented public health program deployments – Qure.ai in national TB screening efforts, Janitri through a state government partnership in Assam.

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