See the condition before the incident becomes the signal.
Help industrial teams detect defined safety conditions and see where exposure concentrates without asking people to review hours of video.
About Edgentik
Building Physical AI for safer industrial operations.
Edgentik turns existing camera infrastructure into an active AI safety system so industrial teams can detect defined conditions, respond to alerts, see where exposure keeps recurring and verify what changes after action.
Founder
Ashish Syal
More than two decades building embedded, connected and applied-AI systems for industrial environments.
Before Edgentik, Ashish served as Chief Engineer at Sierra Wireless and Senior Director of AI/ML at Lantronix. He also created mangOH, an open-source hardware platform that grew to more than 60,000 boards and a global partner ecosystem.
Why Edgentik
Across those deployments, the recurring gap was not a lack of cameras or compute. Physical operations generated more visual evidence than teams could continuously interpret, and corrective actions rarely had a clean measurement loop afterward. Edgentik was created to close that gap with Physical AI operating across the industrial floor.
The cameras are already there. The missing layer is continuous understanding.
An Edge AI appliance can make existing cameras operational.
Computer vision can run close to the source, turning selected feeds into reviewable events and recurring-pattern intelligence while keeping continuous video close to the site.
A Physical AI safety layer across the site.
Extend the same detect-alert-recurrence-verification loop across additional cameras, operating areas and safety conditions.
Start focused
Talk to the founder about your operating question.
Have a site question, a potential partnership or an industrial problem to discuss? Get in touch with Ashish directly.
Direct contact