San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
- Revenue
- $5.4B
- Customers
- 10K
- Year founded
- 2013
- Funding
- $9B
- Team size
- 8K
- Growth
- 45.95%
As of August 2026, Latka tracks 88 machine learning software companies with $100M+ in annual revenue. They have combined revenues of $28.4B and employ 87.3K people. They have raised $39.4B and serve 640.4M customers combined.
Every company below sells machine learning 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.
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.
Sorting: Highest -> Lowest
Showing 10 of 88 companies ranked by annual revenue.
San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
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.
Seoul, South Korea
MegazoneCloud accelerates your journey to the AI era with comprehensive cloud, AI, and cybersecurity solutions.
Kennesaw, Georgia, United States
LendingPoint is an AI-driven consumer and small business lending platform founded in 2014 and headquartered in the United States. The company originates personal loans ranging from $5,000 to $50,000 for borrowers across the full credit spectrum, from scores of 550 to 850, using proprietary machine learning models to price risk across five credit grade buckets and more than 400 pricing points. The company grew net revenue 144% from 2020 to 2021, reaching approximately $330 million in net revenue for the full year 2021, with management guiding toward roughly $600 million for 2022. LendingPoint originated $2.1 billion in loans in 2021 and had already deployed close to $900 million in the first quarter of 2022 alone. LendingPoint raised approximately $220 million from friends and family across four to five tranches before completing its first institutional equity round in 2020, when Warburg Pincus invested $175 million with no secondary component. As of early 2022, the company reported profitability of $100 million to $120 million in net income and held debt capacity of $1 billion to $1.5 billion across warehouse lines, asset-backed securities, forward flows, and bank commitments.
Munich, Bayern, Germany
process mining platform to help businesses analyze, visualize, and optimize their processes.
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.
Montreal, Quebec, Canada
Hopper is a mobile app that leverages big data and machine learning to predict and analyze airfare
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.
Las Vegas, Nevada, United States
TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI ...
Toronto, Ontario, Canada
Tenstorrent is a next-generation computing company that builds computers for AI.
Latka tracks 88 machine learning software companies with $100M+ in annual revenue. Together they generate $28.4B in annual revenue and employ 87.3K people.
Databricks is the largest, with $5.4B in annual revenue, founded in 2013.
The average machine learning software company in this list makes $322.8M a year, across 88 companies with reported revenue. They serve 640.4M customers combined.
Ranked by annual revenue, the leaders are Databricks, Cursor by Anysphere, MegazoneCloud, LendingPoint and Celonis.
The 88 machine learning software companies with $100M+ in annual revenue tracked here have raised $39.4B in disclosed funding between them.
- 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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