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
- $9B
- Team size
- 12.3K
- Growth
- 45.83%
Top 50 Data Science and Machine Learning Platforms Companies (October 2026)
As of October 2026, Latka tracks 4,240 data science and machine learning platforms companies. They have combined revenues of $45.3B and employ 428.2K people. They have raised $52.5B and serve 3.8B 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
- 4,240
- Revenue
- $45.3B
- Funding
- $52.5B
- Employees
- 428.2K
Filters
Sorting: Highest -> Lowest
Top Data Science and Machine Learning Platforms Companies by revenue
Showing 10 of 4,240 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
- Year founded
- 2018
- Funding
- $510M
- Team size
- 1K
3
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
- Year founded
- 2016
- Funding
- $80M
- Team size
- 1.7K
4
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
5
Hopper
Montreal, Quebec, Canada
Hopper is a mobile app that leverages big data and machine learning to predict and analyze airfare
- Revenue
- $500M
- Year founded
- 2007
- Funding
- $175M
- Team size
- 1.2K
6
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
7
DemandScience
Danvers, Massachusetts, United States
DemandScience is the premier AI-powered, B2B demand generation company accelerating global growth for our clients. The DemandScience intelligence platform empowers B2B organizations to swiftly identify the right accounts and target in-market buyers with precision. By combining groundbreaking technologies and AI innovation, the company ensures timely delivery of accurate data, intelligence, and insights, adding value to the end-to-end journey from initial engagement to conversion. Founded in 2012, DemandScience provides 1,500 global customers with superior marketing solutions, B2B data, and leads.
- Revenue
- $381.6M
- Customers
- 1.5K
- Year founded
- 2012
- Team size
- 1.1K
8
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
- 153.38%
9
Cartrack
United States
Cartrack is a leading global Software-as-a-Service (SaaS) platform provider for small, medium and large businesses, as well as consumers needing a software platform for data analytics to optimise fleets, driver behaviour, insurance risk, safety and asset recovery. Data analytics remain Cartrack’s primary offering, in addition to growing its artificial intelligence and value-added services to deliver a tangible return on investment to its subscribers. Cartrack is also renowned for its agility and speed in developing innovative, first-to-market solutions that are aimed at further enhancing the customer experience. Cartrack’s impressive organic growth since being launched in South Africa in 2004 has resulted in an extensive footprint in 23 countries across Africa, Europe, North America, Asia Pacific, and the Middle East. With an active subscriber base in excess of 1.5 million, the Group ranks among the largest of its peer companies globally. Cartrack is a vertically integrated service-centric organisation owning all its unique intellectual property and business processes, ranging from in-house design, device and software development, mobile-technical workshops and sales. Hence, Cartrack is in full control of delivering superior service while also protecting its industry-leading margins and clean balance sheet.
- Revenue
- $355.6M
- Year founded
- 2004
- Team size
- 3.2K
10
Fractal Analytics
New York, New York, United States
Fractal is a globally recognized Enterprise AI company with a vision to power every human decision in the enterprise. Fractal’s suite of businesses includes Asper.ai (enabling interconnected decisions for revenue growth) and Analytics Vidhya (one of the world’s largest data science communities). Fractal incubated Qure.ai, a global healthcare AI leader enhancing the rapid identification and management of tuberculosis, lung cancer, and stroke. Fractal’s dedicated AI research team is focused on foundational AI advancements, including knowledge-based foundational models, reasoning-based systems, and agentic systems. The team has launched successful products such as MarshallGoldsmith.ai, Vaidya.ai, Kalaido.ai, and the open-source reasoning model Fathom-R1-14B. Fractal currently has 5500+ employees across 18 global locations including The United States, Canada, UK, Netherlands, Ukraine, India, Singapore, South Africa, UAE, and Australia. Named Leader by Forrester Forrester Wave: Customer analytics service Q2 2025 Named Leader by Everest Group Everest Group Peak Matrix Assessment 2025 for AI and Analytics Services
- Revenue
- $330M
- Year founded
- 2000
- Funding
- $105.7M
- Team size
- 6.7K
- Growth
- 25.48%
Frequently asked questions about Data Science and Machine Learning Platforms Companies
How many data science and machine learning platforms companies are there?
Latka tracks 4,240 data science and machine learning platforms companies with reported revenue. Together they generate $45.3B in annual revenue and employ 428.2K 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 $10.7M a year, across 4,240 companies with reported revenue. They serve 3.8B customers combined.
Who are the leading Data Science and Machine Learning platforms vendors?
Ranked by annual revenue, the leaders are Databricks, MegazoneCloud, Advance Intelligence Group, TELUS Digital AI Data Solutions and Hopper.
How much funding have data science and machine learning platforms companies raised?
The 4,240 data science and machine learning platforms companies tracked here have raised $52.5B 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.