
BigML Customers
Join the 221,000+ 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


In no time, we were able to implement a Machine Learning solution with BigML. We know we can count on an extremely experienced and efficient customer support team. If your company is looking for a robust yet low-cost, easy-to-implement and easy-to-scale ML solution, go with BigML.


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.


In the short term BigML creates "checks for free" with your existing data, business, processes and people. In the mid and long term you will totally reshape your business strategy and operations based on the intelligence and insight you extract with BigML.
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.


I love that BigML is easy to learn and affordable. We have students that their companies want results immediately; I think BigML is the right tool for that.


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.