“With the release of Veritable, every developer can now be a data scientist” says CEO and cofounder Eric Jonas. Veritable works by searching through the massive hypothesis space of all possible relationships present in a dataset, using an advanced Bayesian machine learning algorithm.
Veritable offers developers
- State of the art inference performance and predictive accuracy on a very wide range of real-world datasets, with no manual parameter tuning whatsoever
- Scalability to very large datasets, including very high-dimensional data with hundreds of thousands or millions of columns
- Completely flexible predictions:
- Quantification of the uncertainty associated with its predictions, since the system is built around a fully Bayesian probability model
Applications built on top of veritable range from predicting heart disease to understanding health care expenditures. Those interested in developing new applications and websites using Veritable should sign up, or contact Prior Knowledge at email@example.com
Prior Knowledge, Inc. was founded in 2011 in San Francisco, CA. The company is backed by the Founders Fund, and closed a funding round earlier this year.