
BigML Customers
Join the 219,000+ customers using BigML, the comprehensive Machine Learning platform for everyone.
BigML is actively lowering the barriers of entry to make Machine Learning accessible. Since our founding in 2011, BigML has grown through grassroots adoption and reached important milestones along the way. Today, we help thousands of analysts, software developers, and scientists representing many industries and business functions around the world to solve a wide range of Machine Learning problems end-to-end. Find out from satisfied customers around the world in their own words.
Enterprise Functions
Financial
Industrials
Technology
Other
Services
Consumer
Energy & Commodities
Customer Testimonials


Even in a company which uses custom built Machine Learning solutions on a daily basis, BigML proves to be very useful for quick proof of concept experiments. And the insightful visualizations help a lot when collaborating with newcomers to the ML field.


BigML augments our ability to take a set of raw data and easily walk through exploratory analysis, feature engineering, model-building, all the way to deployment and integration. Their team’s expertise and ability to customize flows via APIs and WhizzML have proven quite valuable.


BigML has delivered on all aspects: ease of use, being able to develop models on the BigML servers but run predictions locally on our computers, a full-featured C# API, incredible documentation, reliability, beyond-belief responsive support, and great pricing. BigML is light years ahead of the competition.
Education Testimonials


The BigML support team is always very responsive. Their live support channel helps answer my questions and solve any problems I have while building predictive models. BigML also helps my students to learn about Machine Learning through experience.


Machine Learning is eating the world and as a professor, I love to see how BigML is committed to improving the way Machine Learning is taught around the world.


My students really enjoy using BigML for their machine learning project. Many even use it for the expert systems project.