Latka logo

Top 3 Drug Discovery Software Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 3 drug discovery software companies under $1M in annual revenue. They have combined revenues of $1.2M and employ 13 people.

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
3
Revenue
$1.2M
Funding
-
Employees
13

Filters

Sorting: Highest -> Lowest

Filters

Top Drug Discovery Software Companies Under $1M Revenue

Showing 3 of 3 companies ranked by annual revenue.

1grit42 logo
grit42

Copenhagen, Denmark

We hate overly complex software. So we built grit42 grit42 was created to serve drug discovery labs that don’t want to get lost in the corners of an enterprise data platform, but do want to find a better way to manage data and compounds than keeping track of endless versions of spreadsheets. Our scientific data management platform is free and open source, and we offer a range of point solutions for research labs built on top of that. The founding partners of grit42 have spent a combined 60+ years managing data, compounds, and test animals at large pharma companies. So we get where you’re coming from, and where you want to go. And with grit42, we want to help you get there faster and easier.

Revenue
$660K
Year founded
2014
Team size
6
2Tamarind Bio logo
Tamarind Bio

United States

Easy to use computational biology tools for drug discovery

Revenue
$440K
Year founded
2023
Team size
4
3Mind the Byte logo
Mind the Byte

Barcelona, Spain

Developer of software created for computational drug discovery. The company's software uses big data, artificial intelligence and machine lLearning technologies as well as offers a versatile set of programs and applications, enabling biotechnology, pharmaceutical companies and research centers to get access to scalable and affordable in silico drug discovery to accelerate the development of new drugs.

Revenue
$58.9K
Year founded
2007
Team size
3

Frequently asked questions about Drug Discovery Software Companies Under $1M Revenue

How many drug discovery software companies under $1M in annual revenue are there?

Latka tracks 3 drug discovery software companies under $1M in annual revenue. Together they generate $1.2M in annual revenue and employ 13 people.

Which drug discovery software company under $1M in annual revenue is the largest?

grit42 is the largest, with $660K in annual revenue, founded in 2014.

How much revenue does a typical drug discovery software company under $1M in annual revenue make?

The average drug discovery software company in this list makes $386.3K a year, across 3 companies with reported revenue.

Who are the leading Drug Discovery software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are grit42, Tamarind Bio and Mind the Byte.

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