BigML Customers

Join the 237,000+ 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

Accounting Automated Transaction Categorization

Customer Service Call Center Incident Management Customer Inquiry Classiﬁcation

Human Resources Job and Candidate Matching People Analytics

Marketing Campaing Response Planning Churn Prediction

Procurement Fraud Detection

Financial

Banking Fraud Detection Customer Touchpoint Optimization

FinTech Know your Customer Remediation Optimization

Insurance Risk Analytics Fraud Detection

Investing Startup Success Projection Equity Index Price Estimation

Industrials

Automotive HVAC Controls Personalization Smart Quality Control

Food Processing Demand Forecasting

Manufacturing Process Quality Analysis

Transportation Dinamic Pricing Optimize Shipment Logistics Smart Plate Recognition

Technology

Computer hardware Product Warranty Fraud Yield and Process Contol Predicting Support Needs

Telecom Predictive Maintenance Customer Retention Optimization

Other

Local Government Predictive Maintenance

Healthcare Clinical Trial Analysis

Services

Legal Legal Matter Cost Profiling Automated Contract Review Smart Pricing

Consulting Customer Segmentation Green Energy Propensity Modeling

Consumer

Travel Hotel Guest Management Predicting Cancellations

Retail Supermarket Loyalty Management Demand Forecasting

Media & Entertainment Predict Box Office Success Predict Hit Songs

Energy & Commodities

Agriculture Predict Crop Yields

Energy Customer Attrition Modeling

Utilities Water Usage Forecasting

Customer Testimonials

Matt Grasser Deputy Director, Inclusive Fintech at Bankable Frontier Associates, New York, USA

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.

David J. Marcus Sr. Vice President of Special Projects and Chief ML Scientist at PandoLogic, Washington DC, USA

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.

Ashok Kandipati Data Scientist at DevRabbit IT Solutions, California, USA

The interactive visualizations on BigML help me find interesting patterns in my data. I have a newfound appreciation of all that you can infer just by experimenting with the different model views and filtering options.

Education Testimonials

Dr. Ammar A. Raja Director at the Center for Enterprise Technology Advancement at University of Management & Technology, Lahore, Pakistan

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.

Tomas Kliegr Assistant Professor of Informatics and Statistics at University of Economics Prague, Czech Republic

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.

Miriam Denzer Masters Student of Software Technology at University of Applied Sciences, Stuttgart, Germany

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.