Nizam Control sits between applications and AI providers, making attribution, policy posture, cost exposure, and audit-backed evidence visible before provider forwarding.
Every AI request passes through Nizam before reaching a provider. Attribution, policy, and audit happen at the edge — not in the application.
Three surfaces expose attribution, policy posture, and governance evidence directly to operators. Nothing is inferred after the fact.
Every AI request through the control plane is captured with model, status, latency, policy signal, and audit context — before provider forwarding and in real time.
Estimated opportunities, observed cost exposure, applied policy controls, and audit-backed evidence are kept distinct. Nothing is blended into a single claimed figure.
Client apps authenticate through scoped Nizam API keys. Provider credentials are resolved server-side and are never forwarded to clients or returned in any response.
Isolation, credential secrecy, and audit integrity are enforced at the control plane level — not left to application logic or runtime assumptions.
You need attribution, policy posture, and an audit trail across every AI workflow before it becomes a cost or compliance exposure.
You're the team that owns provider access, API keys, and the internal AI platform. Nizam gives you a server-side control plane without rebuilding it from scratch.
You're building AI-native products and want request attribution, cost visibility, and a policy layer before you scale — not after it becomes a problem.
No public self-serve. Companies and solo technical users request access. Each request is reviewed before activation.