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Top 1 Machine Learning Data Catalog Software Companies With $5M–$10M Revenue (September 2026)

As of September 2026, Latka tracks 1 machine learning data catalog software companies with $5M–$10M in annual revenue. They have combined revenues of $6.3M and employ 79 people. They have raised $87M.

Every company below sells machine learning data catalog 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 Machine Learning Data Catalog Software Companies do

Machine Learning Data Catalog Software serves as a specialized framework designed to enhance the management, discovery, and utilization of data specifically for machine learning projects. These solutions facilitate real-time data discovery by automating the cataloging of datasets, enabling organizations to effectively organize and manage their data assets. In doing so, they allow data scientists and machine learning engineers to locate relevant datasets quickly, thereby accelerating the development of machine learning models. Typical features of Machine Learning Data Catalog Software include automated metadata ingestion, lineage tracking, and advanced search capabilities powered by machine learning algorithms. This facilitates easier dataset evaluation and improves collaboration across teams, as stakeholders can access effective data documentation and understand the provenance of their data. Common buyer personas include data scientists, machine learning engineers, data governance professionals, and IT managers, all of whom seek efficient ways to manage and utilize large volumes of data for analytical and operational purposes.

Companies
1
Revenue
$6.3M
Funding
$87M
Employees
79

Filters

Sorting: Highest -> Lowest

Filters

Top Machine Learning Data Catalog Software Companies With $5M–$10M Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Modal Labs logo
Modal Labs

New York City, New York, United States

Modal provides high-performance, scalable computing infrastructure and develops machine learning software to help run code in the cloud.

Revenue
$6.3M
Year founded
2021
Funding
$87M
Team size
79

Frequently asked questions about Machine Learning Data Catalog Software Companies With $5M–$10M Revenue

How many machine learning data catalog software companies with $5M–$10M in annual revenue are there?

Latka tracks 1 machine learning data catalog software companies with $5M–$10M in annual revenue. Together they generate $6.3M in annual revenue and employ 79 people.

Which machine learning data catalog software company with $5M–$10M in annual revenue is the largest?

Modal Labs is the largest, with $6.3M in annual revenue, founded in 2021.

How much revenue does a typical machine learning data catalog software company with $5M–$10M in annual revenue make?

The average machine learning data catalog software company in this list makes $6.3M a year, across 1 companies with reported revenue.

Who are the leading Machine Learning Data Catalog software vendors with $5M–$10M in annual revenue?

Ranked by annual revenue, the leaders are Modal Labs.

How much funding have machine learning data catalog software companies with $5M–$10M in annual revenue raised?

The 1 machine learning data catalog software companies with $5M–$10M in annual revenue tracked here have raised $87M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- Must offer automated metadata management to simplify data organization - Should provide advanced search functionalities to enable quick data discovery - Must include lineage tracking to visualize data flow and relationships - Should facilitate collaboration among teams by offering clear documentation and accessibility - Must cater specifically to machine learning use cases, not just general data management - Should integrate seamlessly with existing data tools and platforms used by the organization - Not just a data storage solution; must actively support data discovery and utilization features