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CorrActions Israeli Startup Offers System To Prevent Human Errors

The company raised $2.7 million.

Israeli startup CorrActions uses neuroscience for an advanced, unique, non-invasive platform that precludes human-machine interface errors. CorrActions raised $2.7 million in funding with three funds including Israeli early stage deep tech fund VentureIsrael, seed fund Operator Partners, and Israeli based Japanese VC Samurai Incubate.

CorrActions is a neuroscience technology startup based in Israel, providing AI software solutions for multiple Human-Machine interface challenges. We develop a platform proprietary data science algorithm-based, addressing the major pain of human operational performance in multiple mega markets. These algorithms monitor operational performance to alert on the deterioration in the human cognitive state and to prevent human errors. CorrActions unique solutions identify the user’s cognitive state impacted by drowsiness, alcohol, fatigue, and other distractions. Errors may be detected 150 milliseconds before they occur, in a completely non-invasive manner, by decoding unconscious brain signals through body motion monitoring.

Thus, CorrActions can read users’ mind and revolutionize Human-Machine Interface by allowing improved human performance as well as smarter and safer machine operation.

“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.”

“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,” Eldad Hochman, the company’s co-founder and CSO told TechCrunch.

“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.”

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