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Top 3,358 Machine Learning Software SaaS Companies in May 2026

As of May 2026, there are 3,358 SaaS companies in Machine Learning Software. They have combined revenues of $46.8B and employ 425.9K people. They have raised $59.3B and serve 2.9B customers combined.

Machine Learning Software encompasses tools and applications that enable systems to learn from data and improve their performance over time without explicit programming. These solutions often utilize algorithms and statistical models to analyze patterns, make predictions, and automate decision-making processes across various domains. Common use cases include predictive analytics, natural language processing, image recognition, and anomaly detection. Commonly adopted in sectors such as finance, healthcare, marketing, and IT, machine learning software is primarily used by data scientists, business analysts, and IT professionals. Typical features include data preprocessing, model training, evaluation, and deployment, which facilitate the integration of machine learning capabilities into existing workflows. By leveraging large datasets, organizations can enhance operational efficiency, improve customer experiences, and make better-informed strategic decisions.

Companies
3,358
Revenue
$46.8B
Funding
$59.3B
Employees
425.9K

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Top Machine Learning Software Companies

Showing 10 of 1,164 companies ranked by annual revenue.

1
Cradle

Amsterdam, Netherlands

Proteins — the building blocks of life — can be tricky to experiment with in the lab. They can become unstable at high temperatures, or may not “fit” correctly onto another chemical that a scientist is trying to study. In an ideal world, researchers would be able to design the correct proteins for their experiments like puzzle pieces that snap neatly into place. That's where Cradle comes in. The company boasts an AI program that it claims can allow any scientist to make a desired protein, theoretically paving the way for advancements in vaccines, antibody treatments, and other therapeutics.

Revenue
$5M
Customers
-
Year founded
2021
Funding
$29.9M
Team size
57
Growth
-
2
Mona

Atlanta, Georgia, United States

Mona is a SaaS monitoring platform for Data and AI driven systems

Revenue
$5M
Customers
-
Year founded
2018
Funding
$3.9M
Team size
6
Growth
-
3
KYC3

Luxembourg, , Luxembourg

Fully automated compliance automation for alternative investments, transfer agents, crypto asset service providers and more. Harness he power of multiple AI helpers for compliance, adverse media, PEP, sanctions and document processing.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
15
Growth
-
4
Keto Software Oy

Hyvinkää, Finland

Keto Software specializes in providing cutting-edge no-code solutions for strategic portfolio management, integrating AI and advanced analytics to enhance decision-making and operational agility. Our platform streamlines complex data processing, offering intuitive dashboards and predictive insights to empower businesses in navigating digital transformation and achieving strategic objectives efficiently.

Revenue
$5M
Customers
-
Year founded
2003
Funding
-
Team size
17
Growth
-
5
Mediwhale

Seoul, South Korea

Mediwhale is an AI-empowered health diagnostics company that uses non-invasive retina scans to help prevent heart and kidney diseases. They develop AI medical devices that analyze retinal images to predict cardiovascular, kidney, and eye disease risks early.

Revenue
$5M
Customers
-
Year founded
2016
Funding
-
Team size
39
Growth
-
6
Kalepa

New York, New York, United States

AI-powered Decision Support for Commercial Underwriters

Revenue
$5M
Customers
-
Year founded
2017
Funding
$14M
Team size
38
Growth
-
7
Distributional

Berkeley, California, United States

Distributional offers a platform for AI testing and evaluation, aiming to make AI systems safe, robust, and reliable. It primarily serves the enterprise sector.

Revenue
$5M
Customers
-
Year founded
2023
Funding
-
Team size
23
Growth
-
8
Smartschool

Palo Alto, California, United States

Smartschool is an AI math tutor for K–12 schools and districts. It uses guided questioning to help students solve math problems and build confidence.

Revenue
$5M
Customers
-
Year founded
2022
Funding
-
Team size
5
Growth
-
9
Stax.ai

Scottsdale, Arizona, United States

Stax.ai is the AI operating system that automates retirement plan administration for maximum efficiency and growth, empowering retirement plan Third-Party Administrators (TPAs) with AI-driven automation.

Revenue
$5M
Customers
-
Year founded
2019
Funding
-
Team size
31
Growth
-
10
Greendeck

Berlin, Berlin, Germany

Dynamic Pricing Engine for businesses

Revenue
$5M
Customers
4
Year founded
2017
Funding
$738.4K
Team size
9
Growth
-

Inclusion Criteria

- Must provide tools for data preprocessing and model training - Should support both supervised and unsupervised learning methods - Must enable the deployment of trained models for real-world application - Should include analytics capabilities for model evaluation and performance tracking - Must cater to users such as data scientists, analysts, and software engineers - Not just for simple data visualization; must also enable predictive modeling and automation