About BigML

At the end of 2010, we believed that the time was right to bring Machine Learning to the masses, and show all of the value that can be extracted from data. We founded BigML in January of 2011 with the mission of making Machine Learning easy and beautiful for everyone. After many long days and long nights of hard work, we are very proud that BigML's Machine Learning platform is helping organizations of all sizes affordably adopt Machine Learning at scale and put predictive power in the hands of many.
BigML wants to make you the master of your data and help you uncover its hidden predictive power. You will not only gain valuable insights from your data, you will most likely enjoy it! In the near future all the applications will be intelligent and BigML's platform, private deployments, and tools can take the complexities out of creating a high-availability, low-latency intelligent services.

Who we are

Passion brings our team together—a passion for building systems that learn from data. Our international team has deep expertise in the fields of Large-scale Machine Learning, Distributed Systems and Data Visualization. BigML is headquartered in Corvallis, Oregon (one of the top cities in America for innovation) and, recently, opened its European headquarters in Valencia, Spain (one of the most beautiful cities in Europe) to harness innovation, but we never shy away from hiring wherever the talent is.

What we do

BigML is a consumable, programmable, and scalable Machine Learning platform that makes it easy to solve and automate Classification, Regression, Cluster Analysis, Anomaly Detection, and Association Discovery tasks. BigML is helping thousands of analysts, software developers, and scientists around the world to solve Machine Learning tasks "end-to-end", seamlessly transforming data into actionable models that are used as remote services or, locally, embedded into applications to make predictions.

Who we serve

More than 30,000 users from all over the world enjoy BigML. We also play an active role in promoting Machine Learning in academia through our education program, reaching over 600 universities.