CorrActions raises $2.7M to help avoid errors in human-machine interactions – TechCrunch

CorrActions, a noninvasive neuroscience startup that uses sensor data to evaluate a user’s cognitive state due to drowsiness, alcohol, fatigue and other issues, today announced that it has raised a $2.7 million seed round. Early-stage fund VentureIsrael, seed fund Operator Partners and the Israeli Innovation Authority are backing the company, which is based out of OurCrowd’s Labs/02 incubator.

The idea here is to use touch sensors wherever humans may interact with machines, be that in a fighter jet’s cockpit, a car or anywhere else where knowing a user’s cognitive state could prevent potentially catastrophic errors. CorrActions promises that its proprietary algorithms can identify the user’s cognitive state and detect errors 150 milliseconds before they occur by “decoding unconscious brain signals through body motion monitoring.” For the most part, the system is use-case agnostic since it’s basically a generic platform that is independent of where it is implemented.

“Using sensors that already exist in nearly every electronic device like smartwatches, smartphones and even steering wheels and joysticks, CorrActions is the first in the world to be able to read a person’s cognitive state at any given moment by analyzing micro changes in their muscular activity,” explained Eldad Hochman, the company’s co-founder and CSO. “It is enough for the person to come in contact with an electronic device for two minutes and we can accurately quantify cognitive state and even predict a rapid deterioration, which may lead to failure or accidents. We can see this coming seconds before it occurs. This means that we can quantify the level of fatigue, intoxication, exhaustion or lack of concentration at any given moment.”

A lot of modern cars already feature sensors that can monitor your alertness, of course, and so it’s maybe no surprise that CorrActions is already working on proofs of concept with a few players in the automotive industry. In addition, it is also working on projects with the defense industry to show that its systems can assess a pilot’s performance, for example. But Hochman also believes that the company’s algorithms may be able to alert athletes or the elderly when they may be at risk of injury and falls.

The company says it will use the new funding to further develop its algorithms and support its current deployment partners, especially in the automotive industry.

“We are developing, and already seeing significant results for a technology which has the potential to save companies man-hours and money by preventing basic operational errors,” said CorrActions co-founder and CEO Zvi Ginosar. “Moreover, the application of our platform can be used to save lives, and prevent thousands of accidents and errors. In the next months we hope to be able to report more ground-breaking results and proof of concept trials, and this funding will greatly help us reach this goal.”