About Edgentik

Building the safety intelligence layer for industrial operations.

Edgentik turns existing camera feeds into reviewable episodes, recurring-pattern intelligence and a connected action record—so industrial teams can see where safety exposure repeats and verify what changes afterward.

Mission, timing and vision

Existing cameras contain operational evidence that most safety teams cannot use continuously.

Mission

Make recurring safety conditions observable.

Help industrial teams see where exposure concentrates without asking people to review hours of video.

Why now

Camera infrastructure already exists.

Edge AI can turn selected feeds into bounded, reviewable evidence while keeping continuous video close to the site.

Vision

A safety intelligence layer across operations.

Begin with one measurable condition, then extend the same evidence and follow-up model across cameras, policies, areas and sites.

Ashish Syal, founder of Edgentik
Founder

Ashish Syal

Ashish has spent more than two decades building connected, embedded and applied-AI products for real deployment environments, from open-source platforms to production industrial systems.

Before founding Edgentik, Ashish served as Chief Engineer at Sierra Wireless and later as Senior Director, AI/ML at Lantronix. He also created the mangOH open-source platform, which grew to more than 60,000 boards and a global partner ecosystem.

That experience shapes Edgentik: deploy close to the source, generate reviewable operational evidence and give customers a clear path from a recurring pattern to an operational decision.

Operating principles

Evidence before claims. Review before conclusions. Follow-through after action.

Edgentik is designed for practical deployment and inspectable operating decisions—not opaque risk scores or worker surveillance.

Start with a defined condition

Define the camera, operating question and measurement standard clearly so every finding has a precise basis.

Separate detections from evidence

Separate machine detections from reviewed episodes and report the evidence quality supporting every recurring-pattern finding.

Keep action connected to follow-up

Record the employer-selected response and continue observing the same condition so the decision does not disappear into a static report.

Start with one priority condition

Start focused, then expand with evidence.

The eight-week pilot connects one existing camera, monitors one priority safety condition and delivers a completed Safety Control Scan with an Expand, Refine or Stop decision. Continuing deployment extends the same workflow across additional cameras, policies, areas and sites.

8-week Safety Intelligence pilot

One camera · one condition · live monitoring · one completed Safety Control Scan