Lower-carbon cloud without re-platforming.
Large organizations already run on AWS, Azure, and GCP. The opportunity is not a migration. It is a control layer that decides where and when workloads run, with workload-level Scope 2 evidence behind every decision.
What we hear
Cloud carbon shows up in ESG decks but not in engineering dashboards. Region choices were made years ago. Sustainability and FinOps want auditable numbers; platform teams want zero disruption.
How we help
- Cross-provider region scoring on carbon, cost, and latency, with no change to your accounts or pipelines.
- Workload scheduling for cleaner-grid windows where shiftability allows it.
- Per-workload, per-tenant, per-region Scope 2 with evidence labels (Observed, Measured, Modeled, R&D validated).
- CSRD-aligned exports and permalinked evidence packs that ESG reviewers can archive.
Most enterprises start with Public Cloud Optimization, then add Private Cloud or AI Agents where regulation or workload type calls for it.
Public Cloud Optimization
Cut cloud emissions without changing providers, by shifting workloads to cleaner grids and times automatically.
Private Cloud
Keep sensitive workloads in your control with dedicated, sovereign infrastructure built for compliance.
AI Agents Infrastructure
Put autonomous agents into production with the context, memory, and infrastructure they need to act reliably.
Pricing direction
Annual platform subscription scoped to managed spend and workload count, plus optional implementation. We share a written estimate after a 30-minute scoping call - no procurement gauntlet to see numbers.
Proof you can ask for
Reference architectures, a sample Carbon Ledger pack from a comparable workload mix, and a live walkthrough of MAIZX placement decisions on a setup that looks like yours.
Let us talk about your specific case.
Bring workloads, regions, and constraints. You leave with a plan, not a brochure.