Technology That Reads Your Mind
Everyday errors in Human–Machine Interactions might result in untold financial and human damage.
What if we could prevent it?
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.
Revolutionize Human-Machine efficiency using disruptive Brain Computer Interface (BCI)
with just a simple touch
Our software decodes natural human motion to analyze subconscious cognition.
We anticipate the person’s cognition state before it reaches consciousness.
Therefore, we can detect and prevent performance deterioration over time.
and minimizes errors before they occur
Applicable to a wide range of use cases and industries
Analyzes simple natural behavior - unlike other solutions in the market
The Brain Time line in Milliseconds
Meet the team
Back End Developer
Head of Data Science
S/W Development Manager
Data Scientist- student
Back End Developer
Project Manager and
Social Media Lead
Prof Hagai Bergman
DBS/Brain Learning Systems
CorrActions is a generic, software-based platform to be used in any product with human-machine interaction.
Here are some examples:
Monitor drivers and alert on performance issues caused by, drunkenness, drugs, drowsiness etc
Monitor pilots performance under severe fatigue situations
Monitor motion via touch identifying human cognitive operational state and prevents typing errors