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Top 2 Scientific Data Management Systems (SDMS) SaaS Companies in May 2026

As of May 2026, there are 2 SaaS companies in Scientific Data Management Systems (SDMS). They have combined revenues of $880K and employ 8 people. They have raised - and serve - customers combined.

Scientific Data Management Systems (SDMS) are specialized software platforms designed for the storage, management, and manipulation of large volumes of scientific data. These systems cater to various scientific fields, including pharmaceuticals, biotechnology, and environmental science, facilitating the efficient organization and sharing of data generated by laboratory processes and instruments. Core functionalities typically include data cataloging, metadata management, compliance tracking, and integration with other laboratory systems to ensure data integrity and security throughout the research lifecycle. The primary use cases for SDMS involve streamlining the data management tasks of researchers and scientists, enabling them to maintain a structured repository of experimental data, laboratory workflows, and related documents. Typical features may consist of user-friendly data entry forms, search and retrieval capabilities, data visualization tools, and support for regulatory compliance. The common buyer personas for SDMS include laboratory managers, compliance officers, and data scientists who require reliable solutions to enhance data governance and streamline scientific research operations.

Companies
2
Revenue
$880K
Funding
-
Employees
8

Filters

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Revenue
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Top Scientific Data Management Systems (SDMS) Companies

Showing 10 of 2 companies ranked by annual revenue.

1
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
Customers
-
Year founded
2014
Funding
-
Team size
6
Growth
-
2
Labric

San Francisco, California, United States

The data layer for scientific research

Revenue
$220K
Customers
-
Year founded
2025
Funding
-
Team size
2
Growth
-

Inclusion Criteria

- The software must provide centralized management of scientific data from various sources, including lab instruments and third-party applications. - Must include robust metadata management capabilities to annotate and describe datasets effectively. - Should support compliance with relevant regulatory standards in the scientific field, such as FDA, ISO, or GLP. - The system should allow for data sharing and collaboration among researchers and teams. - Must enable version control and audit trails to ensure data integrity and traceability. - Not just a data storage solution; must also provide analysis and reporting functionalities. - Should facilitate automated workflows to minimize manual data handling and entry errors.