BigML Customers

Join the 246,000+ 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

Andrés González CTO and Co-Founder at CleverData, Spain

What surprised me the first time I worked with BigML is that it is not only powerful and useful for developers, but it’s also easy for business people that want to get insights and make predictions in a simple web interface. I really enjoy working with BigML.

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.

William Morris Research Manager at Faraday, Vermont, USA

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.

Education Testimonials

Gonzalo Martínez Assistant Professor at Universidad Autónoma de Madrid, Spain

BigML can be used by everyone. With BigML, now I can teach Machine Learning to students with very different backgrounds. BigML is Machine Learning made easy!

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.

Herbert Remidez Assistant Professor & Director of the Business Analytics Program at University of Dallas, Texas, USA

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.