Adaptive Compute Infrastructure

Compute should move.

GREENPOW is the orchestration layer for adaptive cloud infrastructure. Workloads route continuously to where conditions are best.

Static infrastructure is obsolete.

Energy, demand, capacity, and policy change by the hour. The cloud underneath them does not.

We are building the layer that does.

SIGNALSGRID45CARBON28COST55CAPACITY82LATENCY60POLICY92MAIZXORCHESTRATION ENGINESCENARIO 1/3WORKLOADSRegion A125 gCO2/kWh28ms PRIMARYRegion B310 gCO2/kWh85ms STANDBYRegion C280 gCO2/kWh118ms STANDBY

MAIZX ingests live infrastructure signals and continuously decides where every workload should run.

Signals

Grid, carbon, cost, capacity, latency, policy.

Decision

Per-workload placement, every minute.

Execution

Across regions, providers, and operators.

Operational proof

Built to be measured.

Every routing decision lands in the Carbon Ledger as auditable Scope 2 evidence.

See the evidence
Carbon attribution
Hourly
Per workload
Region placement
Multi
EU + LATAM
Scope 2 evidence
Auditable
CSRD / SECR / CDP
Orchestration loop
Continuous
GreenOps
AI Energy Calculator

Estimate your AI workload footprint.

Pick a model, scale, and region to see the estimated monthly electricity, water, and CO2e impact of your AI usage. Numbers update in real time.

Monthly estimate

Electricity1.3kWh
Water2.1L
CO2e0.31kg

1.5M input tokens / 800K output tokens

input tokens0.50 kWh
output tokens0.81 kWh
incl. embodied0.003 kg CO2e

Rough equivalents

  • 2km driven
  • 109smartphone charges
  • 14tree-days to absorb

Figures are estimates based on published benchmarks. Actual values vary by hardware, utilisation, and real-time grid conditions.

Get an AI workload assessment

What you'll share

GPT-4o · Professional · Conversations · EU West (Ireland / Netherlands)

1.3 kWh·2.1 L·0.31 kg CO2e

The next layer of infrastructure.

Talk to the team building it.