Sector · Enterprise

Governed, carbon-aware infrastructure for enterprise transformation

GREENPOW gives CIOs, CISOs, and platform leaders a single operating model for private, public, sovereign, and edge workloads, with policy, audit, and carbon awareness built in.

The challenge

  • AI sprawl and pilots that never reach a standard platform.
  • Hyperscaler concentration and unpredictable cloud spend.
  • ESG and CSRD pressure on IT without infrastructure data.
  • Fragmented governance across business units and regions.
  • DORA, NIS2, and AI Act turned into architectural requirements.

How GREENPOW solves it

Cross-environment control plane

Govern private, public, sovereign, and edge workloads from a single view.

Carbon-aware placement

MAIZX blends carbon, cost, performance, and residency in every placement.

Production AI runtime

Standardize agents and AI flows on policy-aware infrastructure.

Auditable by design

Versioned configuration, controlled access, and traceable changes.

Sovereign-ready

Critical workloads under jurisdiction and staffing controls without losing global optionality.

Infrastructure data for ESG

Feed sustainability reporting with infrastructure-level Scope 2 evidence.

Use cases

  1. Hybrid environment governance

    Standardize operations across private, public, sovereign, and edge.

  2. Enterprise AI rollout

    Give business units a governed, multi-team AI platform.

  3. DORA and NIS2 alignment

    Map placement, recovery, and continuity to regulatory obligations.

  4. Scope 2 reporting inputs

    Defensible data for finance and sustainability.

  5. Cost and carbon optimization

    Cut over-provisioning and shift flexible workloads to cleaner windows.

Cortex · Operational memory for enterprise AI

Per-team and per-business-unit memory under your existing identity model

Cortex sits underneath your copilots, agents, and AI workflows so each business unit, project, or workload has its own memory namespace, retention policy, and audit trail. Access boundaries are enforced at the platform layer, not by user discipline, and model governance decides which model is allowed to touch which context.

Economics of GREENPOW for this sector

Multi-business-unit infrastructure with measured energy, cost, and compliance reporting per workload.

Cloud cost lever
15-30%

Modeled savings when consolidating fragmented BU cloud spend onto a governed platform.

Carbon evidence
Per-workload Scope 2

Workload-level kWh and kgCO2e ready for CSRD and group ESG reporting. Tag: Modeled, moving to Measured.

Operational risk
EU residency by default

Data residency, change control, and audit trails aligned to enterprise governance.

  • Figures shown are modeled defaults. Confirm sourcing before using any figure publicly. See /en/impact#methodology and /en/impact#evidence-labels.

What you can rely on

  • Built for enterprise complexity, not one-off experiments.
  • Cloud-neutral: operates above and across your hyperscalers.
  • Residency, audit, and continuity as first-class controls.
  • Sustainability claims tied only to measured workloads.

Frequently asked questions

Do you replace our hyperscaler contracts?

No. Most customers keep them. GREENPOW adds governance, orchestration, and sovereign options above and across them.

Can a single business unit pilot quickly?

Yes. Start with one workload class and scale the standard to other teams.

Is this an ESG reporting tool?

No. We feed your reporting platform with evidence.

How do you handle residency?

Residency is a first-class constraint enforced by MAIZX.

Standardize enterprise infrastructure under a single governed model

Let's define a path from fragmented workloads to a governed, carbon-aware operating model.