Carbon-aware cloud infrastructure for SaaS in growth mode
GREENPOW helps SaaS teams and scaleups scale secure cloud operations while improving ESG visibility, infrastructure efficiency, and cost discipline.
The challenge
- Cloud bill growing faster than revenue.
- Enterprise customers asking about ESG and residency.
- Scaling without losing infrastructure control.
- AI features with unpredictable cost and carbon.
- Sustainability narrative anchored in offsets and PR.
How GREENPOW solves it
Cost and carbon discipline
MAIZX blends cost, carbon, and performance in every placement.
Enterprise-ready posture
Residency, audit, and access expected by enterprise buyers.
AI runtime that scales
AI on infrastructure designed for sustained use, not just demos.
Multi-region operations
Operate EU, UK, and LATAM under a single governance model.
Infrastructure-level Scope 2
Replace generic claims with measured data.
Cloud-neutral
Sits on top of your hyperscaler environment, no rebuild required.
Use cases
Scale without losing control
Standardize operations as your engineering team grows.
ESG visibility for enterprise sales
Answer ESG due diligence with measured data.
Cost and carbon optimization
Shift flexible workloads to cleaner, cheaper windows.
Multi-region rollout
Open a new region without standing up a new operating model.
AI feature scale-up
AI inference in sustained use with controlled cost and carbon.
Ship customer-specific AI features on customer-specific memory
If you sell AI features into regulated buyers, every customer needs their own memory boundary. Cortex provides cryptographic isolation between tenants, regional pinning, contract-grade retention, and an audit ledger per customer, so one client's context cannot bleed into another's and enterprise procurement gets the evidence it asks for.
Economics of GREENPOW for this sector
Multi-tenant SaaS where infra cost per tenant and Scope 2 per tenant drive both gross margin and ESG.
- Cloud cost lever
- 20-35%
- Carbon evidence
- Per-tenant gCO2e
- Operational risk
- Predictable scale
Modeled reduction in infra cost per tenant when moving from single-vendor defaults to governed multi-region placement.
Energy and Scope 2 attributed at the tenant level, ready for customer ESG questionnaires. Tag: Modeled.
Region and capacity patterns sized for tenant growth without lock-in.
- 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 sustained scale, not demos.
- Sustainability claims tied only to measured workloads.
- Residency and audit as first-class controls.
- Cloud-neutral on top of your hyperscaler environment.
Frequently asked questions
Do we replace the hyperscaler?
No. GREENPOW sits on top of and across your hyperscalers.
Will enterprise buyers accept us on GREENPOW?
Yes. Residency, audit, and ESG evidence are designed with them in mind.
How is AI cost managed?
MAIZX weights cost and carbon in placement; private deployment is available.
Can we migrate later?
Yes. Architecture and data are designed for reversibility.
Scale your SaaS under cost and carbon discipline
Let's define a path that aligns growth, ESG posture, and cloud spend.