The trust layer enterprise AI was missing.
Qoris is building the operating layer for governed AI work — the infrastructure that lets enterprises deploy autonomous AI workers with memory, governance, and audit built in from day one.
Why we built Qoris
AI agents got powerful before they got governed. The same agents that can draft customer emails, update CRMs, and execute transactions can also delete production databases, leak sensitive data, or take actions no one approved. Every enterprise deploying AI is one bad agent action away from a reportable incident.
We started Qoris because the gap between AI capability and AI control was getting wider, not narrower. Generic agent builders, standalone assistants, and traditional automation tools all stopped short of the layer enterprises actually need: governance that runs inside the worker, memory that distinguishes recall from truth, and audit that traces every decision from intent to action.
Qoris is the operating system for that layer. Knox enforces policy before every action. Memory separates fast retrieval from canonical truth. Workers run in isolated runtimes on infrastructure you control. The trust layer enterprise AI was missing — built in from day one.
Backed by infrastructure that matters
Stamford, CT
Built from the New York metro corridor, serving enterprise customers across North America.
NVIDIA Inception
Member of the NVIDIA Inception Program for AI startups.
Claude Partner Network
Claude Partner Network member.
Patent pending
Knox governance architecture, U.S. Patent Application 63/907,730.
Built by operators who shipped AI in production
Eliel Joseph and Arthur Katcher founded Qoris after experiencing the governance gap firsthand. Today they lead product, engineering, and go-to-market from Stamford, CT and Canada.
Run AI workers your
enterprise can trust.
Qoris gives enterprises the operating layer for governed AI work: workers, approvals, memory, audit, and infrastructure controls.
