Artificial Intelligence companies in Life Sciences in India
There are 41 Artificial Intelligence companies in Life Sciences in India which include Innovaccer, SigTuple, Peptris, Boltzmann, Multiplier AI. Out of these, 14 startups are funded, with 4 having secured Series A+ funding, and 1 achieving unicorn status.
2026 has seen the creation of 5 Artificial Intelligence companies in Life Sciences in India. Over the past 10 years, an average of 3 new companies have been launched annually. Notably, several of these startups have been founded by alumni of IIT Bombay, BITS Pilani and IIT Delhi.
Here is the list of top Artificial Intelligence companies in Life Sciences in India

1. Innovaccer
Developer of healthcare data platforms and artificial intelligence agent software. This technology unifies clinical, operational, and financial information from disparate systems to support decision-making. The platform provides tools for population health management, revenue cycle automation, and quality performance tracking. It enables the deployment of automated assistants to streamline administrative workflows, manage patient outreach, and facilitate care coordination across various healthcare settings. The system integrates non-electronic health record data to improve documentation accuracy and support value-based care initiatives.
Key facts about Innovaccer
- Founded Year: 2014
- Location: San Francisco (United States)
- Stage: Series F
- Total Funding till date: $675M
- Investors: WestBridge Capital, Mubadala and 36 Others
- Latest Funding Round: Series F, Jan 09, 2025, $*****
- Tracxn Score: 78/100 What is this?
- Competitors Rank: 3 of 967 Competitors

2. SigTuple
Provider of AI-powered diagnostic solutions for laboratories and hospitals. It is a healthcare technology company that leverages artificial intelligence, robotics, and cloud computing to develop intelligent screening solutions for medical diagnostics. The products are designed to automate microscopy and enable AI-assisted digital analysis of visual medical data.
Key facts about SigTuple
- Founded Year: 2015
- Location: Bengaluru (India)
- Stage: Series C
- Total Funding till date: $54.7M
- Investors: Accel, Endiya Partners and 40 Others
- Latest Funding Round: Series C, Aug 05, 2024, $*****
- Tracxn Score: 67/100 What is this?
- Competitors Rank: 1 of 23 Competitors
3. Peptris
Provider of AI-based proteomic data analysis software for drug discovery. The company has designed a computational platform that assists with the analysis and interpretation of various experimental data. The platform uses technology that has features to predict molecular interactions between proteins, prediction of target proteins, and more.
Key facts about Peptris
- Founded Year: 2019
- Location: Bengaluru (India)
- Stage: Series A
- Total Funding till date: $9.17M
- Investors: Speciale Invest, Indian Angel Network Fund and 46 Others
- Latest Funding Round: Series A, Dec 24, 2025, $*****
- Tracxn Score: 61/100 What is this?
- Competitors Rank: 2 of 158 Competitors

4. Boltzmann
AI powered drug discovery platform for cancer and autoimmune diseases. The platform offers boltchem a small molecule design and discovery software, ReBolt a synthesis planning tool to accelerate the process of synthesis, Boltbio for multi-omic analysis, BoltPro to engineer proteins, peptide drugs, and antibodies, and Clinbolt is an AI powered platform for clinical trial design as well as biosimulation for personalized medicine.
Key facts about Boltzmann
- Founded Year: 2019
- Location: Bengaluru (India)
- Stage: Seed
- Total Funding till date: $340K
- Investors: SINE, Angel List and 24 Others
- Latest Funding Round: Seed, Mar 26, 2026, $*****
- Tracxn Score: 48/100 What is this?
- Competitors Rank: 44 of 289 Competitors
Developer of an AI based pharma marketing platform for life sciences firms. The platform uses generative AI to enhance doctor lists that improve decision-making for physicians, and drive new patient acquisition. It has developed solutions for hospital marketing, pharmaceutical company marketing, and patient-centric data-driven strategies.