Cambridge-based Nutonian announced on Wednesday that they have raised $4 million in a Series A funding round lead by founding investor Atlas Venture. The funds will be used to commercialize and further develop Eureqa, Nutonian's flagship machine learning platform.
"Eureqa uses a recent breakthrough in machine learning, called symbolic regression, to unravel the intrinsic relationships in data and explain them as simple math. Using this technology, Eureqa can create incredibly accurate predictions that are easily explained and shared," Michael Schmidt, founder and CEO of Nutonian, told BostInno.
In other words, Eureqa is meant to sort through massive amounts of data, analyze underlying relationships, and spit out numbers that are easy to understand and read. Schmidt wants even the most non-technical person in the most non-technical field to be able to use Eureqa to make the most accurate predictions and informed decisions possible.
"Euraqa is the only company in the market that truly delivers outcomes from analyzing Big Data. Eureqa ingests any data form, and, through machine learning, determines the questions to ask based on identifying insights not recognizable by humans or legacy platforms and then recommends an action. Eureqa is a data scientist in a box," said Schmidt.
Eureqa has had 40,000 downloads, serving clients in big oil and gas to retail and biology. For example, there was research published in the American Journal of Radiology in which Eureqa was used to create the predictive models that allowed a research team to identify appendicitis in children without exposing them to a CT scan.
"Nutonian is based on a new technology that can deduce new laws of physics from data. You might have noticed there are few to no 'laws of physics' in most businesses. We're here to change that," said Schmidt.
