Built by someone who spends his days inside live and broken machines.
I'm a Senior Digital Forensics and Incident Response Consultant. My work is getting hands-on with machines other people have given up on — pulling evidence and answers out of running systems, dead disks, and damaged drives, and doing it in a way that holds up under scrutiny. I qualified as an expert witness on the strength of that work, and my consulting supports one of the largest managed security operations in the world.
GRAM came out of a simple frustration. The tools a repair tech reaches for are either blind or generic. Linux rescue media can read files but can't see the running Windows OS — its event logs, services, live registry, drivers, network state, or processes. A generic AI chatbot can talk about errors but can't see the specific machine in front of you. The forensic toolkit I trust every day could see the live system in detail, but it wasn't built for a field tech standing over a broken box with a customer waiting.
So I built GRAM: forensic-grade visibility into the live, running machine, paired with an AI co-pilot that can actually look at what it's diagnosing — on a USB stick, safe by construction, with all diagnostics, repairs, and file recovery free forever. It's the tool I wanted on every bench and every house call.