Five jobs all see the same balance.
Each passes a basic balance check. Together, they spend more than the customer has.
With GreenGate Every allow places an atomic hold, so the next job sees what is actually left.
GreenGate is a real-time decision layer for AI, GPU, and other metered workloads. Check a job before it starts, reserve what it may consume, and stop long-running work when it reaches its limit.
Built and working today. Pre-launch by design.
{ "organization": "acme_ai", "workload": "agent_run", "estimate": { "tokens": 25000, "gpu_minutes": 8 }}The missing control layer
Billing tells you what happened. GreenGate decides what can happen, immediately before your application starts expensive work.
Each passes a basic balance check. Together, they spend more than the customer has.
With GreenGate Every allow places an atomic hold, so the next job sees what is actually left.
But inference, agents, and GPU workloads can keep consuming long after the initial check.
With GreenGate Report usage while work runs and receive a clear continue or stop verdict.
One control point
Your application still runs the work. GreenGate makes and records the decision.
Send the customer, workload, and estimated usage. GreenGate evaluates every configured guard in one decision.
POST /governance/checkAn allow reserves estimated consumption across every enforced meter. Concurrent jobs cannot double-spend it.
allow + reservation_idCommit actual usage, release failed work, or report streaming usage until GreenGate says stop.
commit · release · stopOne decision, every guard
Design partners
We are working with a small group of teams that run usage-priced AI, agent, GPU, or other expensive workloads. Tell us what you are building and where spend control gets difficult.