Company lists · Data refreshed September 2026
Top 17 Machine learning drug development companies based in New York, United States
RevenueBase identified 31 machine learning drug development companies headquartered in New York, United States as of September 2026 and tracks 2,114 professional contacts across them, including 1,371 with verified work emails. Across the United States, San Francisco is the largest hub for this category (54 companies); New York has 31.
This list covers machine learning drug development companies headquartered in New York, United States, 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 28, 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 drug development companies based in New York, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 957 contacts → | ||||
Indirect evidence “Schrödinger’s industry-leading computational platform facilitates the research efforts of biopharmaceutical and industrial companies, academic institutions, and government…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 452 contacts → | ||||
Indirect evidence “Owkin is building the first BASI to unlock breakthroughs in therapies, diagnostics, and rejuvenation, while reshaping how humanity understands and engineers biology.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 180 contacts → | ||||
Strong evidence “Formation Bio is an AI-native pharma company differentiated by radically more efficient drug development.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 149 contacts → | ||||
Indirect evidence “D.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 96 contacts → | ||||
Strong evidence “Intelligencia AI uses artificial intelligence to de-risk drug development.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 47 contacts → | ||||
Partial evidence “TandemAI is an advanced technology company dedicated to reinventing drug discovery infrastructure.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 43 contacts → | ||||
Strong evidence “VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 30 contacts → | ||||
Indirect evidence “Welcome to Syntekabio Inc.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 26 contacts → | ||||
Strong evidence “Ordaōs is a human-enabled, machine-driven drug design company.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 24 contacts → | ||||
Partial evidence “OncoPrecision is a precision oncology company engineering first-in-class antibody-drug conjugates (ADCs) and bispecific antibodies for hard-to-treat cancers.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 12 contacts → | ||||
Strong evidence “Alchemi accelerates drug development with purpose-built scientific agents.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 9 contacts → | ||||
Indirect evidence “Lodo Therapeutics discovers and develops novel therapeutics addressing "undruggable" targets with high unmet need by applying its proprietary platform to tap the vast collections…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 7 contacts → | ||||
Indirect evidence “Founded in 2021 and headquartered in New York City.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 6 contacts → | ||||
Indirect evidence “tellic is a data science technology company that works with leading Pharma and Biotech companies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 2 contacts → | ||||
Strong evidence “At Bioworkshop, we are developing a full-stack drug discovery & development platform that will make drug R & more efficient and accurate.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 1 contacts → | ||||
Partial evidence “Using modern technologies in deep learning and artificial intelligence, and high performance computing, Quine Biologics builds bespoke, therapeutic grade antibodies, specific to…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 1 contacts → | ||||
Indirect evidence “We help biopharma and animal healthcare organizations accelerate discoveries by automating behavioral analysis using proprietary AI models.” Source: RevenueBase Database · checked Sep 28, 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 drug development 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 drug development companies.
- Partial evidence
- Its own public description names part of machine learning drug development 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 drug development 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 31 machine learning drug development companies based in New York, United States
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Machine learning drug development companies based in New York, United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for New York, so it is reported there. Company counts and contact totals on this page are exact for New York, over 31 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 drug development 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 New York, United States whose own description of what they do matches “machine learning drug development 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 drug development 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 drug development companies, and records with no verified work email. Companies headquartered outside New York 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, 1,371 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 28, 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.
Machine learning drug development companies by metro in the United States
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 drug development 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 drug development companies are there based in New York, United States?
RevenueBase identified 31 machine learning drug development companies headquartered in New York, United States 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?
Schrödinger, headquartered in New York, tops this list with the largest team on record.
Which city in the United States has the most machine learning drug development companies?
San Francisco leads the United States with 54 headquartered companies, followed by Boston (49) and Cambridge (45). New York has 31.
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 1,371 verified decision-maker contacts tracked across these 31 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 28, 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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