Now selecting design partners

Stop expensive work
before it overspends.

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.

POST /governance/check decision
01{
02  "organization": "acme_ai",
03  "workload": "agent_run",
04  "estimate": {
05    "tokens": 25000,
06    "gpu_minutes": 8
07  }
08}
DECISIONAllow
RESERVATIONHeld atomically
RESPONSEA few milliseconds
Parallel requests now see the true remainder.

The missing control layer

Usage moves in real time.
Most controls do not.

Billing tells you what happened. GreenGate decides what can happen, immediately before your application starts expensive work.

01 / PARALLEL WORK

Five jobs all see the same balance.

Each passes a basic balance check. Together, they spend more than the customer has.

AVAILABLE$100
−$30−$30−$30−$30
ACTUAL SPEND−$120

With GreenGate Every allow places an atomic hold, so the next job sees what is actually left.

02 / LONG-RUNNING WORK

A job is affordable at minute one.

But inference, agents, and GPU workloads can keep consuming long after the initial check.

LIMIT
STOP
STARTUSAGE REPORTSLIMIT REACHED

With GreenGate Report usage while work runs and receive a clear continue or stop verdict.

One control point

Check. Hold. Settle.

Your application still runs the work. GreenGate makes and records the decision.

01

Check before work

Send the customer, workload, and estimated usage. GreenGate evaluates every configured guard in one decision.

POST /governance/check
02

Hold atomically

An allow reserves estimated consumption across every enforced meter. Concurrent jobs cannot double-spend it.

allow + reservation_id
03

Settle or stop

Commit actual usage, release failed work, or report streaming usage until GreenGate says stop.

commit · release · stop

One decision, every guard

Protect the unit economics of every request.

01EntitlementCan this customer use the service?
02Rate limitAre they moving too fast?
03ConcurrencyHow much is already in flight?
04QuotaAre they within their period allowance?
05Cost ceilingIs this individual job too expensive?
06FundsCan every meter be reserved together?

Design partners

Help shape the control layer for metered compute.

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.

  • A direct line to the team building GreenGate
  • Influence over early product priorities
  • No commitment required
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