1
Databricks
San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
- Revenue
- $3.7B
- Customers
- 10K
- Year founded
- 2013
- Funding
- $4B
- Team size
- 12.3K
- Growth
- 54.17%
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.
Filters
Sorting: Highest -> Lowest
Top Machine Learning Software Companies
Showing 10 of 3,358 companies ranked by annual revenue.
2
MegazoneCloud
Seoul, South Korea
MegazoneCloud accelerates your journey to the AI era with comprehensive cloud, AI, and cybersecurity solutions.
- Revenue
- $1.2B
- Customers
- -
- Year founded
- 2018
- Funding
- $510M
- Team size
- 1K
- Growth
- -7.69%
3
Cursor by Anysphere
San Francisco, United States
Cursor is an AI-first Integrated Development Environment (IDE) built to streamline and accelerate software development built by Anysphere. It leverages advanced AI models like GPT-4 to provide real-time code suggestions, auto-debugging, and code generation. Cursor integrates seamlessly with Visual Studio Code (VSCode) extensions and ensures a smooth transition for developers familiar with VSCode. With its focus on pair-programming and AI assistance, Cursor enhances coding efficiency by understanding the entire codebase, fixing lint errors, and generating new code based on natural language instructions.
- Revenue
- $1B
- Customers
- 50K
- Year founded
- 2023
- Funding
- $2.7B
- Team size
- 182
- Growth
- 900%
- Revenue
- $865.3M
- Customers
- 300K
- Year founded
- 2014
- Funding
- $125M
- Team size
- 288
- Growth
- 32.1%
5
Celonis
Munich, Bayern, Germany
process mining platform to help businesses analyze, visualize, and optimize their processes.
- Revenue
- $771M
- Customers
- 500
- Year founded
- 2011
- Funding
- $2.4B
- Team size
- 3.7K
- Growth
- -
6
Advance Intelligence Group
Singapore
Advance Intelligence Group is an AI-driven technology company specializing in financial technology and services, founded in 2016 in Singapore. They provide AI-powered credit-enabled products and services in various sectors including financial services and retail.
- Revenue
- $770M
- Customers
- -
- Year founded
- 2016
- Funding
- $80M
- Team size
- 1.7K
- Growth
- -
7
Hopper
Montreal, Quebec, Canada
Hopper is a mobile app that leverages big data and machine learning to predict and analyze airfare
- Revenue
- $686.9M
- Customers
- -
- Year founded
- 2007
- Funding
- $175M
- Team size
- 1.2K
- Growth
- 37.38%
8
Metropolis
Los Angeles, California, United States
Metropolis is a proprietary AI- and computer vision-based operating system designed to revolutionize parking management and support the advancement of mobility capabilities.
- Revenue
- $580M
- Customers
- -
- Year founded
- 2017
- Funding
- $1.8B
- Team size
- 603
- Growth
- 430.37%
9
Tenstorrent
Toronto, Ontario, Canada
Tenstorrent is a next-generation computing company that builds computers for AI.
- Revenue
- $501.6M
- Customers
- -
- Year founded
- 2016
- Funding
- $793M
- Team size
- 1.1K
- Growth
- -
10
Contentsquare
Paris, France, France
an advanced analytics platform that helps businesses to understand and improve their digital customer experiences.
- Revenue
- $370.8M
- Customers
- 1.3K
- Year founded
- 2012
- Funding
- $1.4B
- Team size
- 1.8K
- Growth
- 23.59%
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