Company lists · Data refreshed September 2026
Top 17 Machine learning pharma companies based in India
RevenueBase identified 59 machine learning pharma companies headquartered in India as of September 2026 and tracks 1,160 professional contacts across them, including 193 with verified work emails. Hyderabad is the largest hub.
This list covers machine learning pharma companies headquartered in India, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 14, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 17 largest machine learning pharma companies based in India
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 176 contacts → | ||||
Indirect evidence “Datafoundry is a company with a vision to bring the power of AI/ML to the Life Sciences and Health Care industry for better health outcomes.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 2 | 149 contacts → | ||||
Partial evidence “We bring compliant, secure, privately deployed with data AI agents for pharma.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 3 | 104 contacts → | ||||
Partial evidence “We are a rapidly growing Software product & Analytics company pivoted in PharmaTech.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 4 | 64 contacts → | ||||
Indirect evidence “A Company with the vision of revolutionizing Drug Discovery.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 5 | 44 contacts → | ||||
Strong evidence “Prescience Insilico is a pioneering deep tech company harnessing the power of artificial intelligence (AI) and machine learning to accelerate drug and materials discovery and…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 6 | 36 contacts → | ||||
Indirect evidence “Sravathi AI Technology Pvt Ltd (Sravathi AI) is an India based AI start up located in Bangalore.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 7 | 22 contacts → | ||||
Indirect evidence “Data science driven company to support faster drug development and healthcare solutions.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 8 | 19 contacts → | ||||
Indirect evidence “DeepForrest AI is reimagining how life sciences teams work by building AI that is trusted, fast, and designed to scale.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 9 | 18 contacts → | ||||
Partial evidence “PharmaFace provides tailored big data solutions for pharma and diagnostic companies by developing customized text-mining algorithms to analyze the data stored in the vast…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 10 | 15 contacts → | ||||
Indirect evidence “Thanks for Visiting Us!” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 11 | 14 contacts → | ||||
Indirect evidence “At SilicoScientia, we are at the forefront of innovation in the fields of drug discovery and bioinformatics.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 12 | 11 contacts → | ||||
Indirect evidence “Peptris is an AI powered preclinical drug discovery company working on oncology, inflammation and rare diseases.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 13 | 10 contacts → | ||||
Indirect evidence “Medvolt is a company at the intersection of Life Sciences and AI and we are building a modular and flexible platform to accelerate biomedical research using state-of-the-art AI…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 14 | 10 contacts → | ||||
Strong evidence “Stratotek Consulting provide Machine Learning services for Healthcare and Life Sciences” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 15 | 9 contacts → | ||||
Indirect evidence “Pioneering the Future of Healthcare Innovation.” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 16 | 4 contacts → | ||||
Partial evidence “EinNext Biosciences is a scientific software company that provides artificial intelligence solutions to transform the pharma, biotech, and healthcare industries, accelerating…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
| 17 | 2 contacts → | ||||
Partial evidence “Helping pharma companies across the world in their mission to help patients, by working with them to provide AI enabled solutions to address their pain points in improving quality…” Source: RevenueBase Database · checked Sep 14, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: machine learning pharma companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names machine learning pharma companies.
- Partial evidence
- Its own public description names part of machine learning pharma companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning pharma companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 17 of 59 machine learning pharma companies based in India
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Machine learning pharma companies based in India at a glance
As of Sep 14, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for India, so it is reported there. Company counts and contact totals on this page are exact for India, over 59 companies.
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning pharma companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in India whose own description of what they do matches “machine learning pharma companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning pharma companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among machine learning pharma companies, and records with no verified work email. Companies headquartered outside India are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 193 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 14, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning pharma companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many machine learning pharma companies are there based in India?
RevenueBase identified 59 machine learning pharma companies headquartered in India as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Datafoundry, headquartered in Bengaluru, tops this list with the largest team on record.
Which city has the most machine learning pharma companies?
Hyderabad leads with 12 headquartered companies, followed by Bengaluru (11) and Pune (5).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 193 verified decision-maker contacts tracked across these 59 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 14, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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