AI Without Governance Is a Liability

We built the control plane that makes enterprise AI structurally accountable.

The Problem We Solve

Most organizations adopt AI without the infrastructure to govern it. Agents execute without approval chains. Knowledge is shared without tenant boundaries. Usage is unmetered, licensing is unenforced, and there is no audit trail. This is not an AI problem. It is an infrastructure gap.

The Hub Brain is the control plane that closes that gap. Multi-tenant governance with hard data isolation. Provider-agnostic LLM orchestration across Gemini, GPT, Claude, and DeepSeek. Commercial enforcement with tiered licensing, usage metering, and contract-bound entitlements. Sovereign deployment for regulated industries.

What We Stand For

Control Over Convenience

AI that cannot be audited should not be deployed. Every agent action passes through governance. Every decision has a trail. We build for regulators, not demos.

Architecture Over Iteration

We do not build MVPs. We architect infrastructure that scales from a single tenant to multi-country deployments. Tenant isolation, commercial enforcement, and sovereign readiness are not features. They are requirements.

Infrastructure as Partnership

We embed with your engineering and compliance teams to make AI governance part of your operational architecture. The future of AI is not experimentation. It is infrastructure.