BigML Customers
Join the 242,000+ 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.
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.
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.
Education Testimonials
We use BigML for our introductory data mining class of 200-300 students annually since 2014. BigML stands out from the competition with its superb model visualizations, lean user interface, worry-free maintenance, and reliability.
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.
My students really enjoy using BigML for their machine learning project. Many even use it for the expert systems project.






























