Latka logo

Top 4,322 Data Science and Machine Learning Platforms SaaS Companies in July 2026

As of July 2026, there are 4,322 SaaS companies in Data Science and Machine Learning Platforms. They have combined revenues of $53.9B and employ 458.6K people. They have raised $66.8B and serve 3.8B customers combined.

Data Science and Machine Learning Platforms are software solutions designed to facilitate the analysis, modeling, and interpretation of complex data sets using statistical and machine learning techniques. These platforms enable data scientists to build, train, and deploy machine learning models efficiently, often featuring tools for data visualization, preprocessing, and collaboration among team members. They support various workflows, including data ingestions, model development, and performance monitoring, catering to organizations aiming to leverage data-driven insights for decision-making. Typical use cases for these platforms include predictive analytics, customer segmentation, and operational optimization. They are utilized across various industries such as finance, healthcare, marketing, and technology. Common buyer personas include data scientists, data analysts, business intelligence professionals, and IT managers, who seek to extract actionable insights from data and improve business processes through advanced analytics and machine learning capabilities.

Companies
4,322
Revenue
$53.9B
Funding
$66.8B
Employees
458.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Data Science and Machine Learning Platforms Companies

Showing 10 of 1,526 companies ranked by annual revenue.

1Legal Insights logo
Legal Insights

Sao Paulo, Sao Paulo, Brazil

Developer of an analytical platform intended for the corporate legal department. The company's platform uses artificial intelligence to detect the trends of the judiciary in-depth, enabling clients to reduce costs, risks and increasing the level of predictability of legal liabilities.

Revenue
$5M
Customers
-
Year founded
2016
Funding
-
Team size
8
Growth
-
2Gyaan logo
Gyaan

San Francisco, CA, United States

Powerful, flexible, and data-driven, Gyaan AI makes it easy to consistently execute deal-winning plays to drive growth and boost your pipeline. GTM teams that use Gyaan drive adoption of their sales process and win bigger deals. It takes a team to win a champion. So get out there and play hard. See us in action at gyaan.ai.

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
39
Growth
-
3Younet logo
Younet

Toronto, Ontario, Canada

Younet is a cutting-edge platform powered by AI that provides a platform to create personalized models on your data knowledge, communicate effectively, and deploy them wherever necessary. It's ready to assist in various fields such as Sales, Marketing, HR,etc.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
7
Growth
-
4AgileMD logo
AgileMD

San Francisco, California, United States

Predictive analytics and clinical pathways for hospitals

Revenue
$5M
Customers
-
Year founded
2011
Funding
-
Team size
18
Growth
-
5Langdock logo
Langdock

Berlin, Germany

The AI platform for team productivity

Revenue
$5M
Customers
-
Year founded
2023
Funding
-
Team size
11
Growth
-
6Empirical Health logo
Empirical Health

United States

Proactive primary care, scaled with AI

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
9
Growth
-
7HypaHub logo
HypaHub

Sunnyvale, California, United States

A Cloud-Based Bioinformatics and AI Platform

Revenue
$5M
Customers
-
Year founded
2019
Funding
-
Team size
4
Growth
-
8PromptLoop logo
PromptLoop

San Francisco, California, United States

AI for market research and analysis on spreadsheets

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
3
Growth
-
9Vorticity logo
Vorticity

Redwood City, California, United States

The Fastest Scientific Computing Platform on the Planet

Revenue
$5M
Customers
-
Year founded
2019
Funding
-
Team size
11
Growth
-
10EvalPro logo
EvalPro

Punjab, Pakistan

Transform Evaluation with EvalPro AI: Lightning-Fast Feedback, Automated KPIs, Effortless Feedback Creation! Plus, enjoy automated monthly summaries for your team. 📈 #EvalProAI

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
-
Growth
-

Inclusion Criteria

- Must provide comprehensive tools for data preparation, analysis, and model deployment. - Must support collaboration features for data scientists and business stakeholders. - Must include capabilities for both supervised and unsupervised machine learning. - Must allow for the integration of various data sources and formats. - Not just for analysis; must also provide tools for model training and evaluation.

Data Science and Machine Learning Platforms SaaS Companies | GetLatka