
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%
As of June 2026, there are 4,322 SaaS companies in Data Science and Machine Learning Platforms. They have combined revenues of $52.8B and employ 466.7K people. They have raised $60.2B 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.
Sorting: Highest -> Lowest
Showing 10 of 4,322 companies ranked by annual revenue.

San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform

San Francisco, California, United States
AI-powered technology enabler and digital transformer of American…

San Francisco, California, United States
The world's most powerful data labeling and RLHF platform, designed for the next generation of AI

Seoul, South Korea
MegazoneCloud accelerates your journey to the AI era with comprehensive cloud, AI, and cybersecurity solutions.

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

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.

Stockholm, Sweden
Lovable is an AI-powered platform that enables developers and non-technical users to create and deploy web applications rapidly. It aims to unlock human creativity by automating software development processes, allowing users to generate complete applications with authentication, data storage, and AI capabilities in a fraction of traditional development time.
- 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.
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