AI that works on industrial data.
Generic models fail on engineering drawings, work orders, and production data. I build AI that doesn't — fine-tuned on your documents, running on your infrastructure.
20+ years in oil & gas — previously at Chevron, Shell, Devon Energy, and AMEC Foster Wheeler; consulting for operators like Suncor Energy, Imperial Oil, and Cameron LNG.
01 // Production systems
Built for production, not demos
Production AI systems shipped to live industrial environments — every decision traceable to source data.
02 // Method
Why my systems get adopted
ACCEPTUNCERTAINREJECTRegulated industries don't trust black boxes. Every output carries one of three states — and the uncertain ones route to a human. That's the judgment layer, and it's why the proof above got built.
Every decision has a source
No black boxes. Every AI output links to the evidence that produced it.
Uncertainty is transparent
When the system isn't sure, it says so. Confidence without honesty is dangerous.
Humans stay in the loop
AI that amplifies human judgment, not replaces it. The human makes the call.
Have data that generic AI can't handle?
Engineering drawings, decades of work orders, production histories — if the knowledge is locked in your documents, the problem is solvable. Tell me what you're working on.