
BigML Customers
Join the 226,000+ 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


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.


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


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


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.


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.