Data Science / ML / AI Platform
AI platforms (also called machine learning platforms or data science platforms) allow users to analyze data and process data, build machine learning models, deploy and maintain these models.
To be categorized as an AI platform, a product must be able to:
- Work with a variety of use cases, should not be specific to one industry
- Allow users to build, deploy and maintain models that power business decisions
Compare Data Science / ML / AI Platforms
AIMultiple is data driven. Evaluate 52 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.
A recognized leader in artificial intelligence, digital process automation, and customer engagement, Pega powers enterprise digital transformation with a unified, no-code platform
Google Cloud Machine Learning Engine Free trial available
Start building your machine learning projects using AI Platform Notebooks.
IBM Watson Studio Free trial available
Together with IBM Watson Machine Learning, IBM Watson Studio is a leading data science and machine learning platform
IBM Watson Machine Learning
IBM Watson Machine Learning (WML) Service enables you to create, train, and deploy self-learning models using an automated, collaborative workflow.
Searches with brand name
These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, Data science / ML / AI platform is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 86% (8% more than average) of search queries in this area.
Data science / ML / AI platform is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 82% (4% more than average solution category) of the online visitors on Data science / ML / AI platform company websites.
Number of Employees
Median number of employees that provide Data science / ML / AI platform is 82 which is 22
more than the median number of employees for the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 44 companies (4 less than average solution category) with >10 employees are offering Data science / ML / AI platform. Top 3 products are developed by companies with a total of 0.5-1M employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.