Orchestration in motion.
MAIZX is the engine. Carbon Ledger is the telemetry. Cortex is the memory. GreenOps is the loop. Together they form the orchestration layer for adaptive cloud infrastructure.
Move All Into Zone X.
MAIZX continuously decides where every workload should run. It reads live grid, carbon, cost, capacity, latency, and policy signals together, and places compute where they align.
- Signals
- Grid intensity, energy price, capacity, latency, performance, compliance.
- Decision
- Per-workload placement across regions, time windows, and environments.
- Execution
- Public, private, hybrid, sovereign. Same loop, same evidence.
What MAIZX placement looks like in practice.
Three short, named scenarios drawn from the workloads we already orchestrate. They show the workload, the placement MAIZX picked, and the outcome with the evidence label behind it.
- AI trainingR&D validated
- Workload
- Large-model fine-tuning job, flexible 24h start window, no residency constraint.
- Placement
- MAIZX held the job back ~6h and ran it in a Nordics region during a low-intensity overnight window.
- Outcome
- Roughly 38% lower Scope 2 intensity vs the default US-East slot, with full per-job evidence in the Ledger.
- E-commerce reportingModeled
- Workload
- Nightly analytics batch, latency-tolerant, must finish before 06:00 local.
- Placement
- MAIZX scheduled the batch into the cleanest 3h grid window inside the customer's existing EU region.
- Outcome
- Around 25% lower modeled emissions for the batch, no change to runtime SLO or downstream reports.
- Fintech / SaaSModeled
- Workload
- Data pipeline for a regulated SaaS tenant, EU residency required, normal urgency.
- Placement
- MAIZX routed runs across two EU regions, picking the lower-carbon grid each hour while staying in-region.
- Outcome
- About 30% lower Scope 2 intensity over the window, compliance constraint preserved on every run.
Illustrative scenarios. Results vary by workload, region, grid signals, and policy constraints.
Build your MAIZX scenario
- Modeled scenario
- Not a guaranteed reduction
- Results vary by workload, region, and data source.
MAIZX shifts workloads across regions and windows to follow cleaner grids. Last 7 days.
One continuous flow.
From the signals MAIZX reads, to the workloads it places, to the evidence the Ledger writes, to the memory Cortex holds, to the loop GreenOps closes.
Every placement, accounted for.
The Carbon Ledger turns metered energy and grid signals into auditable, dual-method Scope 2 at workload resolution. It is observability for adaptive infrastructure, not an annual estimate.
Operational memory for autonomous workflows.
Per-tenant memory and an audit ledger of every retrieval, prompt, and action. The substrate that makes agent infrastructure usable in production.
- Isolated
- Per-tenant namespace, never mixed.
- Audited
- Every action recorded and defensible.
- Foundational
- Shared substrate for multi-agent workflows.
- tenant-001idle
- tenant-042active
- tenant-117idle
- tenant-208idle
- tenant-313idle
Measure. Place. Report. Repeat.
A continuous operating loop. Telemetry feeds placement, placement produces evidence, evidence feeds the next decision.
See the platform on your workloads.
We walk through MAIZX placement, Carbon Ledger evidence, Cortex memory, and the GreenOps loop with your use case in mind.