As of July 2026, there are 3,360 SaaS companies in Machine Learning Software. They have combined revenues of $51.8B and employ 420.9K people. They have raised $68.6B 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.
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Showing 10 of 1,164 companies ranked by annual revenue.
Brick Township, New Jersey, United States
Since 2011, Streamline Verify has advanced Exclusion Screening Automation, using the latest tech and algorithms for efficient compliance.
San Francisco, California, United States
Predictive analytics and clinical pathways for hospitals
Sydney, New South Wales, Australia
AI that builds fully-configured automated business processes
Redwood City, California, United States
The Fastest Scientific Computing Platform on the Planet
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.
New York, New York, United States
Intelligencia is a SaaS company that applies machine learning to assess and mitigate the risk in clinical development strategy/design.
- 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
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