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Corractions Raises $2.7M to Improve Human-Machine Interaction

May 27, 2021
Corractions Raises $2.7M to Improve Human-Machine Interaction

CorrActions Secures $2.7 Million Seed Funding for Cognitive State Monitoring

CorrActions, a startup pioneering noninvasive neuroscience, has announced the successful completion of a $2.7 million seed funding round. The company utilizes sensor data to assess a user's cognitive condition, identifying impairments caused by drowsiness, alcohol consumption, fatigue, and other factors.

Investment Details

VentureIsrael, Operator Partners, and the Israeli Innovation Authority are the primary investors in this round. The funding will be instrumental in advancing CorrActions’ technology, which is being developed within OurCrowd’s Labs/02 incubator.

Core Technology and Applications

The core concept involves integrating touch sensors into interfaces where human-machine interaction occurs. This includes environments like fighter jet cockpits and automobiles, where awareness of a user’s cognitive state is crucial for preventing potentially disastrous mistakes.

CorrActions’ proprietary algorithms are designed to detect cognitive states and anticipate errors up to 150 milliseconds before they happen. This is achieved by “decoding unconscious brain signals through body motion monitoring.”

Platform Versatility

The system is remarkably versatile, functioning as a generic platform applicable across diverse use cases. Its independence from specific implementation environments enhances its adaptability.

How it Works: Analyzing Micro-Changes

“CorrActions is the first to accurately determine a person’s cognitive state in real-time by analyzing subtle variations in muscular activity,” explains Eldad Hochman, co-founder and CSO. “The system requires only two minutes of contact with an electronic device to quantify cognitive state and predict potential deterioration leading to failures or accidents.”

The technology can quantify levels of fatigue, intoxication, exhaustion, or lack of focus, providing a proactive warning system. This allows for intervention seconds before an incident occurs.

Current Projects and Future Potential

Many modern vehicles already incorporate alertness monitoring systems. Consequently, CorrActions is actively collaborating with automotive industry leaders on proof-of-concept projects.

Furthermore, the company is engaging with the defense sector to demonstrate the system’s ability to evaluate pilot performance. Beyond these areas, Hochman envisions applications for athletes and the elderly, alerting them to potential injury risks and falls.

Funding Allocation and Company Vision

The newly acquired funding will primarily be used to refine the algorithms and support existing deployment partners, particularly within the automotive industry.

“We are witnessing promising results from a technology poised to save companies resources and prevent operational errors,” states Zvi Ginosar, co-founder and CEO. “More importantly, our platform has the potential to save lives and prevent countless accidents.”

The company anticipates sharing further groundbreaking results and successful trial outcomes in the coming months, with this funding serving as a catalyst for achieving these goals.

#AI errors#human-machine interaction#machine learning#Corractions#funding#AI safety