BigML is a US-based machine learning platform that simplifies the creation, training, and deployment of predictive models in the cloud. Its user-friendly interface allows both beginners and experts to build models for classification, regression, time series forecasting, and anomaly detection with ease.
BigML strives to make machine learning as simple as pushing a button. To this end, BigML built a cloud-based SaaS platform that enables anyone from beginners in coding to fully-fledged developers, to build, test, and deploy predictive models easily. Users can explore a full suite of powerful tools to utilize data, without the complexity, for tasks such as forecasting trends, anomaly detection, and much more.
BigML is making machine learning easier with capabilities ranging from automated model optimization to user-friendly visualizations. Today, BigML serves over 225,000 customers across many industries including healthcare, finance, and retail. BigML is not only changing what it means to be accessible with AI, but they also educate the next generation of machine learning experts through their education initiatives.
| Legal Name | BigML, Inc |
| Headquarters | Corvallis, Oregon, United States |
| Business Model | B2B |
| Founding Date | 2011 |
| No. of Employees | Approx 50 (As of 2024) |
BigML offers smart predictive models, automated workflows with WhizzML, collaboration tools, flexible cloud and on-premises deployment, and top-notch security. These products and services help businesses build, deploy, and optimize insights to make clear, data-driven decisions across industries.
| Francisco Martin, Ph.D. | Co-Founder & Chief Executive Officer |
| Poul Petersen, M.Sc. | Co-Founder & Chief Infrastructure Officer |
| Tom Dietterich, Ph.D. | Co-Founder & Chief Scientist |
| José Antonio Ortega (Jao), Ph.D. | Co-Founder & Chief Technology Officer |
| Beatriz García | Director of Design |
| Mercè Martín, Ph.D. | VP of Bindings and Applications |
| Óscar Rovira | Director of Web Development |
| Toni Blasco | Controller |
| Cándido Zuriaga | Director of Data Wrangling |
| David Gerster | Strategic Decision Engineer |
The company earns income through freemium based subscriptions, pay-as-you-go, enterprise structures, premium services, API usage, consulting, training, and a marketplace for ML models providing an accessible and profitable way to adopt AI.
Client Segments: Large Enterprises, Public Sector Organizations
Target Companies: Energy Providers, Manufacturing Firms, Healthcare Systems, Financial Institutions, Logistics Enterprises
Target Geography: Global with a strong presence in North America and Asia-Pacific, and expanding across Europe, the Middle East, and Africa