TECHNOLOGY / ARCHITECTURE

Designed as a trust layer.
Proved through execution.

Connect existing enterprise controls to AI identity, delegated authority, deterministic policy and evidence.

CURRENT TECHNICAL POC

Identity → authority
→ decision → evidence.

The demonstration is a working vertical slice of the decision path.

Launch the technical PoC

What is real in this PoC

  • Deterministic rule execution on the server
  • Delegation scope and limit evaluation
  • Stateful approvals and containment
  • Hash-linked evidence and Ed25519 signatures

Agents, counterparties and execution adapters are synthetic. Human approval is a sandbox role-play. No bank, cloud workload or production identity is controlled.

QVATRICS technical architecture and shared trust fabric
Detailed technical component view. The public product story is organised into ten product capabilities and one trust chain; the live PoC demonstrates a focused identity-to-action control path. Download technical diagram ↗

ENGINEERING DIRECTION

GCP at the core.
Integrate where it matters.

01

Product foundation

Google Cloud is the primary Phase-1 platform. The website runtime and Firestore are deployed in Doha (me-central1), with clear isolation between public demonstrations and future customer environments.

02

Enterprise identity

QVATRICS connects to identity systems customers already run, including Microsoft Entra ID, Okta and CyberArk. These are customer connectors, not hosting dependencies.

03

Production roadmap

Policy-engine hardening, authenticated reviewers, verified workload identity, durable audit retention and real enforcement adapters.

Google Cloud is the Phase-1 product and website foundation. Customer data residency and regulatory alignment are validated per deployment; Google Cloud Doha (me-central1) is available where in-country deployment is required and the needed services are supported.

QSGT²

The architecture behind
the decision path.

Secure. Govern. Trust. Transact. connects enterprise intent to bounded, explainable AI behaviour.

Explore QSGT²

THE NEXT CONVERSATION

What should your AI
be trusted to do?

Start with one workflow. Define its authority, test its boundaries and make every decision explainable.

Discuss a pilotRun the live demo