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Top 10 Drug Discovery Software Companies (November 2026)

As of November 2026, Latka tracks 23 drug discovery software companies. They have combined revenues of $365M and employ 1.2K people. They have raised $714.4M and serve 55.2K customers combined.

Every company below sells drug discovery software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Drug Discovery Software Companies do

Drug Discovery Software encompasses a range of tools and applications that aid in the development of new pharmaceuticals. These solutions streamline the research process by enabling researchers to design, analyze, and optimize drug candidates more efficiently. Common use cases include target identification, lead optimization, and preclinical trials, wherein software facilitates simulations and predictions that guide decision-making during the drug discovery pipeline. Typically, drug discovery software features include molecular modeling, compound library management, virtual screening, and data analysis capabilities. Users of this software include pharmaceutical companies, biotech firms, and academic institutions focused on drug development. By automating complex processes, these tools help researchers reduce costs and timeframes associated with bringing new medicines to market.

Companies
23
Revenue
$365M
Funding
$714.4M
Employees
1.2K

Filters

Sorting: Highest -> Lowest

Filters

Top Drug Discovery Software Companies by revenue

Showing 10 of 23 companies ranked by annual revenue.

1Verge Genomics logo
Verge Genomics

San Francisco, California, United States

We use human data and AI to develop better drugs faster.

Revenue
$98M
Year founded
2015
Team size
63
2insitro logo
insitro

San Francisco, California, United States

insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients.

Revenue
$69M
Year founded
2018
Funding
$643M
Team size
262
3AIgnostics logo
AIgnostics

Berlin, Berlin, Germany

Aignostics is an AI-powered precision diagnostics company that focuses on pathology to assist with drug development and clinical research. It specializes in transforming drug development and improving patient outcomes with AI that delivers novel insights for precision medicine.

Revenue
$45M
Year founded
2018
4Chemify Limited logo
Chemify Limited

Glasgow, Scotland, United Kingdom

Chemify is a chemistry and chemical discovery digitization platform. It develops a digitization platform to run chemical code for drug discovery, chemical synthesis, and materials discovery.

Revenue
$39.5M
Year founded
2019
Team size
126
5Elucidata Corporation logo
Elucidata Corporation

San Francisco, California, United States

Provider of cloud-based data analytics platform designed to analyze omics datasets to understand the molecular basis of cellular phenotypes. The company's platform can process, analyze and visualize large omics data across metabolic, genomics, transcriptomics and proteomics among others and uses data analytics to transform decision making processes in research and development labs in biotechnology and pharmaceutical businesses, enabling scientists and doctors in biotech, pharma and hospitals to make real-time decisions.

Revenue
$22.2M
Year founded
2015
Funding
$7.6M
Team size
148
6OPTIC logo
OPTIC

San Francisco, California, United States

AI-powered drug discovery platform for rapid molecule screening and testing, from target identification to lab validation. Automating biotech R&D. About Optic Optic started as an AI research team developing high-performance similarity search algorithms. Today our proprietary AI-technology is powering products in multiple industries from blockchain to biotech.

Revenue
$19.9M
Year founded
2021
Team size
181
7Iktos logo
Iktos

Paris, Ile-de-france, France

Artificial Intelligence for new drug design

Revenue
$19M
Year founded
2016
Team size
24
8Synthace logo
Synthace

London, England, United Kingdom

Developer of a cloud software platform designed to automate and improve the success rate of biological research and development. The company's platform uses artificial intelligence for designing and simulating biological systems, as well as methods of collating, structuring and analyzing experimental data, enabling clients to transfer biological designs into real 'wet lab' experiments via logistics simulation and execution seamlessly.

Revenue
$11.8M
Year founded
2011
Funding
$40.8M
Team size
66
9WhiteLab Genomics logo
WhiteLab Genomics

Paris, France

Unleashing the potential of DNA and RNA based therapies using AI

Revenue
$7.4M
Year founded
2019
Team size
50
10Antiverse logo
Antiverse

Cardiff, Wales, United Kingdom

Antiverse is a Welsh techbio company specializing in antibody design for challenging drug targets, utilizing advanced machine learning techniques to develop de novo antibody therapeutics.

Revenue
$7M
Year founded
2017
Team size
27

Frequently asked questions about Drug Discovery Software Companies

How many drug discovery software companies are there?

Latka tracks 23 drug discovery software companies with reported revenue. Together they generate $365M in annual revenue and employ 1.2K people.

Which drug discovery software company is the largest?

Verge Genomics is the largest, with $98M in annual revenue, founded in 2015.

How much revenue does a typical drug discovery software company make?

The average drug discovery software company in this list makes $15.9M a year, across 23 companies with reported revenue. They serve 55.2K customers combined.

Who are the leading Drug Discovery software vendors?

Ranked by annual revenue, the leaders are Verge Genomics, insitro, AIgnostics, Chemify Limited and Elucidata Corporation.

How much funding have drug discovery software companies raised?

The 23 drug discovery software companies tracked here have raised $714.4M in disclosed funding between them.

Related Vertical Industry Software categories

Inclusion Criteria

- Offers tools for molecular modeling and simulations - Supports data analysis related to drug interactions and efficacy - Aids in target identification and validation in the drug discovery process - Includes features for library management of drug compounds - Must facilitate preclinical trial planning and analysis - Not just general research software; must specifically cater to drug discovery workflows