GridEdge AI was founded on a simple observation: critical infrastructure operators need AI that works with their existing systems, not solutions that require ripping out what already works.
Our Philosophy
We call it parallel implementation by business adoption design. It means our solutions operate completely out-of-band from your control systems. No integration meetings. No cybersecurity coordination marathons. No risk to operational technology. When we deploy PlantIQ or VisionSentinel, your SCADA systems, your DCS, your existing infrastructure — they don’t even know we’re there. We’re a layer alongside, not on top of.
Why This Matters
In industrial environments, “move fast and break things” isn’t an option. A single unplanned outage can cost millions. A security vulnerability in a control system can be catastrophic. Traditional enterprise AI vendors don’t understand this. They want API access to everything. They want to sit in the data path. They want cloud connectivity for “advanced features.”
We understand that the answer to “can we integrate with your historian?” is often “no, and stop asking.”
What We Bring
- Decades of industry experience in power, manufacturing, and defense sectors
- Air-gap native architecture — full functionality without internet connectivity
- Edge-first deployment — AI inference happens on-site, not in a distant data center
- Read-only by design — our systems observe and advise, they never control
Our Approach
We believe the future of industrial AI isn’t replacement — it’s augmentation. The operators who’ve run your plant for 30 years have knowledge that no model can replicate. Our job is to give them better tools, faster access to information, and intelligent monitoring that catches what humans might miss. That’s GridEdge AI: empowering infrastructure to think, adapt, and perform beyond its design — while respecting the constraints that keep it safe.