A multidisciplinary team of founders, engineers, and operators with more than a decade of experience defending the most-targeted critical infrastructure on earth. We’re building AI EdgeLabs to bring those same defences to every workload, agent, and environment.
Founders and operators — not analysts.
Our leadership team combines deep machine-learning research, production-grade engineering, and frontline incident-response experience — the same playbook used to defend infrastructure against APT-class threats.
Five principles guide how we build, hire and ship — carried over from a decade of operational experience defending the most-targeted critical infrastructure on earth.
Detection without response is just expensive logging. Every product decision is judged against whether it stops a threat before it executes.
If runtime security depends on a cloud round-trip, it can’t protect the places that matter most. We design for air-gapped, regulated and edge from day one.
All inference runs locally. Customer telemetry never leaves the boundary. Our ML models earn their place by being small, fast and explainable on production hardware.
Our team has shipped, operated and defended production systems — not just analysed them from a desk. That bias for action shows up in every release.
CRA, NIS2, HIPAA, FedRAMP, ISO/IEC 62443, PCI DSS — pre-mapped, continuously evidenced, audit-ready out of the box. Not a quarterly scramble.
Our team has Ukrainian roots and has operated on critical national infrastructure for over a decade — responding directly to Sandworm, APT28, APT44, NotPetya, Industroyer and AcidPour.
AI EdgeLabs is not built from threat reports. It is built from operational experience — engineered so the lessons learned defending against nation-state attackers are available, by default, to every customer.
Meet our founders and engineers for a 30-minute walkthrough — your environment, your workloads, your threats. No data leaves your infrastructure during the demo.