The Adaptive Computing Platform

Infrastructure should think.

GREENPOW is the orchestration layer that continuously decides where compute should run - optimizing for cost, energy, carbon, latency, compliance, and infrastructure availability across cloud, private, and edge.

Start here

Three ways in.

Start Computing

Run something today.

Self-service cloud compute from $4.95/mo. VMs, containers, GPU, storage, and networking - EU-sovereign, with carbon reporting included.

Enterprise

Bring your existing infrastructure.

GREENPOW Orchestration optimizes AWS, Azure, and GCP workloads by carbon, cost, and latency without re-platforming. Private cloud and sovereign deployments available.

Explore AI

AI that knows where to run.

Coretex, Enterprise AI, Legal AI, Energy AI, and governed AI Agents - each application layer powered by the GREENPOW Adaptive Computing Platform.

The control plane is the product.

Cloud is a layer. The continuously-deciding control plane above it is what separates reactive infrastructure from adaptive infrastructure.

MAIZX is that control plane.

MAIZX

Adaptive Computing Control Plane

GRIDCARBONCOSTCAPACITYLATENCYPOLICY
Region A
Region B
Region C

MAIZX ingests live infrastructure signals and continuously decides where every workload should run. Not once at deploy time. Every minute.

Signals

Grid intensity, energy price, carbon, latency, capacity, compliance.

Decision

Per-workload placement, every minute.

Execution

Across regions, providers, and operators.

Operational carbon intelligence

Carbon as an infrastructure signal.

Operational carbon intelligence is not a sustainability report. It is real-time carbon intensity data routed into placement decisions, with every choice recorded in the Carbon Ledger as auditable Scope 2 evidence.

Read the research
Carbon attribution
Hourly
Per workload
Region placement
Multi
EU + LATAM
Scope 2 evidence
Auditable
CSRD / SECR / CDP
Orchestration loop
Continuous
Adaptive
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.