1
Databricks
San Francisco, California, United States
a cloud-based data engineering, data science, and machine learning platform
- Revenue
- $7B
- Customers
- 10K
- Year founded
- 2013
- Funding
- $13B
- Team size
- 12.3K
- Growth
- 45.83%
Top 10 Data Science and Machine Learning Platforms Companies (November 2026)
As of November 2026, Latka tracks 3,413 data science and machine learning platforms companies. They have combined revenues of $28B and employ 308.9K people. They have raised $39.1B and serve 1.2B customers combined.
Every company below sells data science and machine learning platforms 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.
What Data Science and Machine Learning Platforms Companies do
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.
- Companies
- 3,413
- Revenue
- $28B
- Funding
- $39.1B
- Employees
- 308.9K
Filters
Sorting: Highest -> Lowest
Top Data Science and Machine Learning Platforms Companies by revenue
Showing 10 of 3,413 companies ranked by annual revenue.
- Revenue
- $1B
- Year founded
- 2021
- Funding
- $38.3M
- Team size
- 326
- Growth
- 900%
3
TELUS Digital AI Data Solutions
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 ...
- Revenue
- $507.1M
- Year founded
- 2005
- Funding
- $1.6M
4
Lambda AI
San Francisco, California, United States
Lambda is an AI infrastructure company providing cloud services, infrastructure, and software training and inferencing of AI models. It serves as a trusted AI Infrastructure advisor to the world's top AI Labs, Enterprises, and Hyperscalers.
- Revenue
- $500M
- Year founded
- 2012
- Funding
- $320M
- Team size
- 669
5
Invisible
San Francisco, California, United States
We are a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of over 3,500 experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities.
- Revenue
- $409.9M
- Year founded
- 2015
- Team size
- 2.8K
6
Snorkel AI
Redwood City, California, United States
Snorkel AI is a software company that provides a platform for building and managing training data for machine learning models. Their platform allows developers and data scientists to label data programmatically and efficiently, using a combination of weak supervision and human-in-the-loop labeling. By automating the data labeling process, Snorkel AI enables companies to train machine learning models faster and with higher accuracy, while reducing the cost and time required for data labeling. The company was founded in 2019 by a group of researchers from Stanford University and is based in Palo Alto, California.
- Revenue
- $375M
- Year founded
- 2019
- Funding
- $235.3M
- Team size
- 776
- Growth
- 1775%
7
Dataiku
New York, New York, United States
Dataiku is an enterprise artificial intelligence and machine learning software company that helps businesses harness the power of data to gain insights and make informed decisions. The company was founded in 2013 and is based in New York City, with additional offices in Paris, London, Sydney, and Singapore. Dataiku's platform provides a collaborative environment for data scientists, analysts, and business users to build and deploy machine learning models, and to automate and scale data processes. The platform integrates with a wide range of data sources and tools, including cloud services, databases, and data warehouses, and supports a variety of programming languages. With Dataiku, businesses can gain insights from their data, automate tasks, and improve their operations. The company serves customers in industries such as healthcare, finance, retail, and more, and is focused on driving innovation and customer success.
- Revenue
- $350M
- Customers
- 750
- Year founded
- 2013
- Funding
- $846.9M
- Team size
- 1.6K
- Growth
- 16.67%
8
Turing
Palo Alto, California, United States
Turn AGI research into real-world impact. Advance AI from research to enterprise scale. Deliver measurable outcomes with cutting-edge intelligence.
- Revenue
- $300M
- Year founded
- 2018
- Funding
- $249M
- Team size
- 4.3K
9
Crusoe
Denver, Colorado, United States
Crusoe is a cloud computing company with a mission to align the future of computing with the future of the planet. It uses a patented Digital Flare Mitigation System to capture stranded gas from oil flare sites and convert it into usable energy to power its data centers, offering AI-optimized cloud computing solutions.
- Revenue
- $290.7M
- Year founded
- 2018
- Funding
- $2.7B
- Team size
- 912
10
DataRobot
Boston, Massachusetts, United States
DataRobot provides an automated machine learning platform that helps organizations build and deploy predictive models quickly and efficiently.
- Revenue
- $285M
- Customers
- 850
- Year founded
- 2012
- Funding
- $1.3B
- Team size
- 869
Frequently asked questions about Data Science and Machine Learning Platforms Companies
How many data science and machine learning platforms companies are there?
Latka tracks 3,413 data science and machine learning platforms companies with reported revenue. Together they generate $28B in annual revenue and employ 308.9K people.
Which data science and machine learning platforms company is the largest?
Databricks is the largest, with $7B in annual revenue, founded in 2013.
How much revenue does a typical data science and machine learning platforms company make?
The average data science and machine learning platforms company in this list makes $8.2M a year, across 3,413 companies with reported revenue. They serve 1.2B customers combined.
Who are the leading Data Science and Machine Learning platforms vendors?
Ranked by annual revenue, the leaders are Databricks, micro1, TELUS Digital AI Data Solutions, Lambda AI and Invisible.
How much funding have data science and machine learning platforms companies raised?
The 3,413 data science and machine learning platforms companies tracked here have raised $39.1B in disclosed funding between them.
Related Artificial Intelligence Software categories
Inclusion Criteria
- 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.