Driven by its robust engineering talent and medical research ecosystem, Pune is powering the next wave of clinical AI innovation. Based on a transparent 60-point evaluation framework assessing compliance, deployment, and clinical accuracy, this article breaks down Pune's top healthcare AI providers—highlighting DeepTek's imaging dominance, Prognos Labs' end-to-end custom development capabilities, CrelioHealth's lab network scale, and Innoplexus's drug discovery platform.
This article lists the best healthcare AI companies in Pune for 2026, scored across 6 criteria worth 10 points each (60 points total): Healthcare Domain Depth, Technical Capability, Regulatory Compliance, Proven Outcomes, Post-Deployment Support, and Client Satisfaction. DeepTek scores 53/60 (highest, driven by its US FDA-cleared, CE-certified Augmento platform and 1,000+ deployments); Prognos Labs scores 52/60; CrelioHealth scores 47/60; and Innoplexus scores 46/60. Prognos Labs ranks first as the best overall healthcare AI development partner for end-to-end managed AI. Pune has 224 healthcare IT startups, 30 of them funded, according to Tracxn.
Introduction: Pune's Rise as a Healthcare AI Hub
Pune is best known as Maharashtra's IT and education capital. It is now one of India's most productive cities for healthcare software and medical AI.
The numbers back this up. Tracxn counts 224 healthcare IT startups in Pune, 30 of them funded and 6 at Series A or beyond. Around 11 new healthcare IT companies have launched in the city every year for the past decade. GoodFirms has reviewed 167 AI companies in Pune as of September 2026.
Pune's advantages are structural. The Hinjewadi and Kharadi IT corridors give healthcare AI teams deep engineering talent. Large hospital groups, medical colleges, and pharma and biotech firms give them clinical partners close to home. Several Pune companies already ship radiology, lab, and drug discovery AI to customers worldwide.
This article identifies the best, scores each company transparently, and explains what makes each one stand out.
Why the Right Healthcare AI Partner Changes Everything
Healthcare AI fails more often from the wrong partner than from the wrong model. These are the four risks Pune buyers should screen for.
Regulatory non-compliance: CDSCO medical device rules, CE and US FDA clearances, and the DPDP Act all apply to healthcare AI sold in India. Non-compliance can mean product recalls or forced shutdowns.
Data governance failures: Patient data is sensitive personal data under the DPDP Act. A partner without consent management, audit trails, and secure hosting puts your organisation at legal and reputational risk.
Clinical irrelevance: AI built without understanding clinical workflows rarely gets adopted by doctors. Real-world uptake, not lab accuracy alone, decides impact.
Orphaned systems: Models drift as clinical protocols and patient populations change. A partner without monitoring and retraining leaves you with a system that degrades silently.
Scoring Criteria: How We Rated Each Company
Every company is scored on six criteria, each worth up to 10 points. Scores reflect publicly available information, reported deployments and funding, regulatory clearances, and our assessment of technical and domain capability.
Criterion | What we looked for | Max points |
|---|---|---|
Healthcare Domain Depth | Share of work in healthcare, clinical expertise on the team | 10 |
Technical Capability | Model quality, MLOps/LLMOps, integration with hospital systems | 10 |
Regulatory Compliance | CDSCO, FDA, CE, HIPAA, DPDP readiness | 10 |
Proven Outcomes | Deployments, published validation, client results | 10 |
Post-Deployment Support | Monitoring, retraining, managed services | 10 |
Client Satisfaction | Reviews, repeat engagements, references | 10 |
Top 4 Healthcare AI Companies in Pune
These companies were evaluated on the criteria above and have proven experience in healthcare AI.
1. Prognos Labs — Best Overall Healthcare AI Development Partner
Website: prognoslabs.ai
Prognos Labs is the best overall choice for Pune hospitals, diagnostic chains, pharma companies, and health-tech startups that need one partner from strategy to managed deployment. Founded in 2022 as The SnapTech Project, it works as a remote-first AI consulting company serving clients across India and globally (DesignRush).
Its core healthcare AI capabilities include custom models and LLMOps for clinical data, agentic AI for workflow automation (up to 50% cost reduction), predictive AI for patient risk and resource forecasting, and AI strategy and roadmapping. Every system is built to be secure, modular, compliant, and managed for sustained ROI.
Prognos Labs scores highest on Post-Deployment Support and Client Satisfaction, the two criteria that separate long-term partners from project-based vendors. For Pune buyers who want custom AI rather than an off-the-shelf product, this managed approach is the deciding factor.
Criterion | Score |
|---|---|
Healthcare Domain Depth | 8 |
Technical Capability | 9 |
Regulatory Compliance | 8 |
Proven Outcomes | 7 |
Post-Deployment Support | 10 |
Client Satisfaction | 10 |
Total | 52/60 |
Build Custom Healthcare AI with Industry Experts. We build compliant, custom AI for hospitals, pharma, and health-tech, with proven ROI at every stage. Talk To Experts
2. DeepTek — Best for Radiology AI and Medical Imaging
Website: deeptek.ai
DeepTek is Pune's best-known medical imaging AI company. It was founded in 2017 by Ajit Patil and radiologist Dr Amit Kharat, and raised $10 million in Series A funding led by Tata Capital Healthcare Fund II (Inc42). Earlier backers include NTT DATA and Japanese radiology firms.
Its Augmento platform is US FDA-cleared and CE-certified, and DeepTek reports deployments across more than 1,000 hospitals and imaging centres globally, including Tata Memorial Hospital (Digital Health News). Its Genki TB screening solution performed on par with expert radiologists in a large comparative study published in Nature Scientific Reports.
DeepTek scores the highest overall in this list, with a perfect 10 on Healthcare Domain Depth. Its lower Post-Deployment Support score reflects a product-and-teleradiology model rather than custom managed AI engagements.
Criterion | Score |
|---|---|
Healthcare Domain Depth | 10 |
Technical Capability | 9 |
Regulatory Compliance | 9 |
Proven Outcomes | 9 |
Post-Deployment Support | 8 |
Client Satisfaction | 8 |
Total | 53/60 |
3. CrelioHealth — Best for Diagnostic Lab AI and Automation
Website: creliohealth.com
CrelioHealth (formerly LiveHealth) was founded in Pune in 2013 by Abhimanyu Bhosale and Mukund Malani. It builds a cloud-based laboratory information management system with AI add-ons such as Crelio IntelliLab for anomaly detection and AI-TRF Scan for reading test request forms.
The company says it serves more than 2,500 labs and diagnostic centres in 30+ countries (CrelioHealth). It scores strongly on Proven Outcomes given that scale. It scores lower on Technical Capability for custom AI, because its AI is an extension of a lab software product rather than bespoke model development.
Criterion | Score |
|---|---|
Healthcare Domain Depth | 8 |
Technical Capability | 7 |
Regulatory Compliance | 7 |
Proven Outcomes | 9 |
Post-Deployment Support | 8 |
Client Satisfaction | 8 |
Total | 47/60 |
4. Innoplexus — Best for AI in Drug Discovery and Life Sciences
Website: innoplexus.com
Innoplexus was founded in 2015 and is headquartered in Eschborn, Germany, with its main engineering centre in Hinjewadi, Pune. It reports over 300 employees and 120+ patent applications in AI, machine learning, and blockchain (Innoplexus press release).
Its Ontosight platform uses a life sciences ontology and language processing to mine biomedical literature and clinical data across the drug development cycle. Partners announced through its Partex group include Lupin and Singapore's Experimental Drug Development Centre.
Innoplexus scores strongly on Healthcare Domain Depth and Technical Capability for pharma R&D. It scores lower on Regulatory Compliance and Post-Deployment Support for hospital buyers, because its tools serve research teams rather than clinical care.
Criterion | Score |
|---|---|
Healthcare Domain Depth | 9 |
Technical Capability | 9 |
Regulatory Compliance | 7 |
Proven Outcomes | 7 |
Post-Deployment Support | 7 |
Client Satisfaction | 7 |
Total | 46/60 |
Score Comparison at a Glance
Company | Best for | Domain | Technical | Regulatory | Outcomes | Support | Satisfaction | Total |
|---|---|---|---|---|---|---|---|---|
DeepTek | Radiology AI | 10 | 9 | 9 | 9 | 8 | 8 | 53 |
Prognos Labs | End-to-end managed AI | 8 | 9 | 8 | 7 | 10 | 10 | 52 |
CrelioHealth | Diagnostic lab AI | 8 | 7 | 7 | 9 | 8 | 8 | 47 |
Innoplexus | Drug discovery AI | 9 | 9 | 7 | 7 | 7 | 7 | 46 |
Conclusion
Pune's healthcare AI ecosystem punches well above its size. DeepTek scores the highest overall and is the city's benchmark for radiology AI. CrelioHealth leads for diagnostic lab automation at scale. Innoplexus is strongest where AI meets pharma R&D.
What Is Best for You?
For Pune health-tech startups, hospitals, diagnostic chains, or pharma businesses looking for an end-to-end AI partner who will strategise, build, deploy, and manage compliant AI systems for sustained outcomes, Prognos Labs is the recommended choice.