From prototype sprawl to one production fabric

Clooney Network was founded by platform engineers who kept meeting the same enterprise: a dozen AI prototypes nobody could operate. One team's agent talked to a model another team had deprecated; costs were attributed to nobody; the trace that would explain a bad output lived in a dead notebook. We built the orchestration fabric that turns that sprawl into one system — hundreds of models and agents running as a governed, observable, production-grade whole.

The core is deterministic routing: every request lands on the model or agent you specified, with failover rules you wrote — not a load balancer's guess. Around it sit the pieces AI prototypes always lack: full trace observability across every hop, and cost governance that attributes spend to team, feature, and customer.

What the platform does

• Routes across every major model provider and your fine-tuned or self-hosted models, with policy enforced per request.
• Traces multi-agent chains end-to-end, so a bad output can be replayed, explained, and fixed.
• Cuts inference spend — pilot customers reduced costs 38–62% in 2024 — by routing, caching, and right-sizing under policy.

Heads of Platform and Engineering choose Clooney when agents move from demo to SLA. The platform runs with enterprise controls — SOC 2 Type II, HIPAA-eligible deployments, and regional isolation in US-East, US-West, EU-Frankfurt, and AP-Singapore — because governance reviews arrive the same week production traffic does.

Our design principle

Your architecture, not ours: Clooney wraps the models and agents you chose rather than selling you a bundled stack you'll replace. Leaving is easy by design — exports are complete, and the routing config is yours.

Clooney Network is enterprise AI orchestration for teams past the prototype stage: deterministic routing, total traceability, and cost control across every model and agent — the fabric that makes AI-native operations boring, in the best way.