BigML Customers
Join the 239,000+ 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.
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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.
VSSML17 was a perfect opportunity to get high-level context beyond the standard predictive palette we use at Faraday. But it was also helpful to focus in on the implications of new tools and methods that BigML is bringing online, and to get facetime with the team that's driving it all.
BigML makes Machine Learning easy with its intuitive design. Data can be analyzed in seconds without the hassle of writing code. As Machine Learning becomes more important for me, I trust BigML to keep the process easy and informative while staying up to date on the latest advancements in Machine Learning.
Education Testimonials
BigML made it easy for me to get started with Machine Learning. It is very intuitive and the structure of the process is easy to understand. I also like the interactive visualization of my data and the possibility to experiment with different filters and options.
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.
BigML’s practical, hands-on approach is well-received by my students. They love to learn this exciting subject with BigML.






























