Published: 28 February 2026 | Times of Startups
India’s healthtech ecosystem is entering a new phase. While the first wave digitized consultations and pharmacy delivery, the below startups are embedding artificial intelligence directly into clinical workflows, diagnostics, hospital operations, and preventive care.
This curated list highlights ten AI-native Indian startups founded in the last couple of years that are already demonstrating early traction, funding momentum, or technological depth in transforming healthcare delivery.
1. Biopeak (Founded: 2025)
Founders: Rishi Pardal & Shiva Subramanian
Biopeak, founded in 2025, is an AI-driven healthtech startup transforming preventive and longevity medicine. By integrating advanced diagnostics, imaging technologies, and machine learning, Biopeak creates personalized health insights that go beyond traditional check-ups. Its platform analyzes biological, metabolic, and clinical data to forecast risk patterns, optimize long-term wellness strategies, and guide early interventions. Unlike conventional healthcare models that react to disease, Biopeak’s approach emphasizes predictive health optimization—a shift aligned with global longevity trends. With strong early funding support and a scalable clinic ecosystem strategy, Biopeak is positioned to lead India’s emerging longevity market and shape how preventive care is delivered worldwide.
Instead of reactive healthcare, Biopeak focuses on predictive and preventive optimization — helping users understand biological age, metabolic markers, and chronic risk signals through AI interpretation layers.
Recent Funding: Raised approximately $2.7M to scale longevity clinics and expand operations across India.
Website: Biopeak
2. Pype AI (Founded: 2024)
Founders: Ashish Tripathy and Dhruv Mehra
Pype AI is an Indian healthtech startup transforming patient engagement and administrative workflows using autonomous voice-powered AI agents. Launched in 2024, its platform automates tasks like appointment scheduling, reminders, follow-ups, and routine patient interactions through context-aware, multilingual conversational AI built specifically for healthcare settings. By reducing staff burden and eliminating repetitive communication overhead, Pype AI enables clinics and hospitals to improve operational efficiency and enhance patient satisfaction. The startup’s early funding success and clinical pilot growth signal strong market validation. With healthcare systems increasingly adopting AI to streamline processes, Pype AI is well-positioned for rapid adoption across India and other emerging markets.
Its agentic AI architecture is designed specifically for healthcare environments, enabling contextual, multilingual medical conversations rather than generic chatbot interactions.
Recent Funding: Raised $1.2M pre-seed round led by Kalaari Capital.
Website: PypeAI
3. DoctorAssist.AI (Founded: 2024)
Founder: Abilash Raghunandanan
DoctorAssist.AI is an AI-powered clinical intelligence platform founded in 2024 to support doctors by transforming complex patient data into actionable insights. The system ingests electronic health records, diagnostics, and clinical histories, then applies machine learning models to streamline decision-making and reduce administrative burden. By automating documentation, highlighting critical patterns, and offering evidence-based recommendations, DoctorAssist.AI helps clinicians spend more time on patient care and less on paperwork. Its focus on real-time, workflow-embedded intelligence aligns with the needs of high-volume healthcare environments. With increasing demand for AI tools that enhance clinical efficiency and accuracy, DoctorAssist.AI is well positioned for rapid adoption and growth.
The platform integrates AI-driven insights into physician workflows, helping reduce documentation burden and accelerate diagnostic interpretation.
Website: https://doctorassist.ai
4. RISA Labs (Founded: 2024)
Founders: Kshitij Jaggi & Kumar Shivang
RISA Labs, founded in 2024, is an AI-centric healthtech startup revolutionizing oncology care with intelligent clinical workflows and data-driven decision support. Its platform integrates advanced machine learning models with pathology data, imaging, and treatment records to accelerate diagnosis, standardize care pathways, and assist oncologists in formulating evidence-based plans. By automating labor-intensive tasks such as report synthesis and pattern recognition, RISA Labs reduces turnaround times and enhances diagnostic accuracy. Backed by early funding and adoption in clinical pilots, its focus on high-impact disease areas positions it for rapid growth. With cancer burden rising globally and care systems seeking scalable AI solutions, RISA Labs has strong long-term potential.
Its goal is to reduce delays in cancer diagnosis and streamline complex hospital workflows using machine-learning-based clinical intelligence.
Recent Funding: Raised seed funding followed by a reported $11M+ Series A to scale oncology deployments.
Website: Risa Labs
5. NeuroPi (Founded: 2025)
Founder: Aperna Volluru
NeuroPi, established in 2025, is an innovative AI-driven healthtech startup redefining cognitive and neurological wellness through data-centric personalization. By integrating neuroscience, genomics, and advanced machine learning, NeuroPi’s platform analyzes brain function, cognitive patterns, and biological signals to deliver tailored insights that support mental performance, early risk detection, and personalized training pathways. Its AI models uncover subtle patterns in complex datasets that traditional assessments often miss, enabling proactive intervention and optimized mental health strategies. Focused on research-backed metrics and user-centered design, NeuroPi is poised to shape the future of personalized brain health and performance optimization, addressing a growing global demand for proactive neurological care.
By combining biological signals with AI models, NeuroPi targets mental performance optimization and neurological risk identification.
Website: https://neuropi.ai
6. VitaSense (Founded: 2025)
Founder: Swanand Kulkarni
VitaSense, established in 2025, is an AI-powered healthtech startup focused on transforming hospital operations and patient care logistics. Its intelligent analytics platform leverages machine learning to optimize patient flow, bed allocation, resource utilization, and clinical scheduling in real-time, helping healthcare facilities reduce bottlenecks and improve efficiency. By turning operational data into actionable insights, VitaSense enables administrators to make informed decisions that enhance capacity planning and patient experience. As hospitals increasingly embrace data-driven operations to tackle rising demand and staffing constraints, VitaSense’s scalable solution addresses a critical need. Positioned at the intersection of AI and healthcare operations, the company is primed for rapid adoption and growth.
The system leverages predictive analytics to reduce bottlenecks and improve hospital efficiency — a critical need in high-volume Indian healthcare environments.
Website: Vitasense
7. Humn Health (Founded: 2024)
Founder: Himalesh Kumar and Alok Soni
Humn Health, founded in 2024, is an AI-driven healthtech startup dedicated to predictive healthcare and proactive risk management. Leveraging advanced machine learning models, Humn Health analyzes clinical and lifestyle data to identify early warning signs of chronic conditions and maternal health complications. Its predictive insights help clinicians and caregivers intervene before health issues escalate, improving outcomes and reducing long-term costs. The platform’s focus on data patterns, risk stratification, and personalized alerts fills a critical gap in preventive care workflows. With growing demand for proactive health solutions in India’s evolving healthcare landscape, Humn Health is well positioned to scale across clinical and community care settings.
By analyzing patient data patterns, the platform aims to proactively identify complications before they escalate.
Website: Hey Humn
8. Pulse (Founded: 2025)
Founders: Anshul Sharma & Nishant Goel
Pulse, founded in 2025 by Anshul Sharma and Nishant Goel, is a healthtech innovator combining medical hardware with intelligent AI monitoring to improve patient care in critical and specialty care environments. The company develops advanced medical equipment that integrates real-time AI analytics to enhance monitoring accuracy, predict deteriorations, and support clinical decision-making in intensive care, renal, and cardiac units. By merging robust hardware engineering with machine-learning-driven insights, Pulse is reducing alarm fatigue and helping clinicians prioritize care more effectively. With a strong early funding round and a product roadmap focused on intelligent life-critical systems, Pulse is poised to transform acute care delivery in India and beyond.
The startup blends medtech hardware with intelligent monitoring algorithms to improve real-time patient safety.
Recent Funding: Raised $4M to expand product R&D and manufacturing capacity.
Website: https://pulse.health
9. Neurapex AI (Founded: 2024)
Founder: Jaiwardhan Tyagi
Neurapex AI, founded in 2024, is an emerging AI-based healthtech startup focused on augmenting diagnostic accuracy and clinical efficiency. Its platform uses deep learning models to assist clinicians in interpreting medical images, reports, and patient history, helping detect early signs of disease that are often overlooked in high-volume settings. By combining automated feature recognition with contextual clinical insights, Neurapex AI supports faster triage and prioritization, reducing diagnostic backlog and improving patient outcomes. Early stage pilots and founder visibility have generated momentum, positioning the company as a promising early entrant in India’s AI diagnostics landscape. As demand grows for AI-assisted diagnostics, Neurapex AI is poised for meaningful impact.
The startup gained early attention for leveraging deep learning models to enhance diagnostic accuracy in clinical settings.
Website: neurapex
10. Pranachain (Founded: 2025)
Founder: Abhishek Chakrala
Pranachain, launched in 2025, is a healthtech startup combining secure blockchain infrastructure with AI-enabled healthcare analytics to revolutionize patient data ownership and interoperability. By empowering individuals with decentralized control of their medical records, Pranachain ensures secure, consent-based data sharing across providers while enabling AI systems to access richer, structured datasets for clinical insights. This approach enhances privacy and accelerates the development of predictive models and personalized care pathways. The platform bridges the gap between data sovereignty and intelligent decision support, addressing critical challenges in fragmented healthcare ecosystems. As demand surges for secure, AI-driven health data solutions, Pranachain is well positioned for adoption by providers, payers, and patients alike.
Its decentralized health data model supports secure data mobility across providers while preserving patient privacy.
Website: https://pranachain.com
Why These Startups Made the Times of Startups List
We selected these companies based on five editorial criteria:
- AI at the Core: Artificial intelligence is central to their product, not an add-on feature.
- Recent Launch : Representing the newest wave of Indian healthtech innovation.
- Early Market Traction: Funding rounds, pilot programs, or hospital deployments.
- Clinical Relevance: Solutions address real operational or diagnostic challenges.
- Scalability Potential: Platforms capable of expanding across India’s healthcare infrastructure.
India’s healthcare challenges — resource constraints, documentation overload, and diagnostic gaps — are uniquely suited for AI-led transformation. The startups listed above reflect a shift toward deeper, workflow-embedded AI that could redefine care delivery over the next decade.
At Times of Startups, we believe this cohort signals the beginning of India’s second AI healthtech wave — one that goes beyond telemedicine into predictive, autonomous, and infrastructure-level intelligence.