Show your work.
Reduce first with MAIZX. Measure what you reduced with the Carbon Ledger. Compensate only the residual. Every figure carries an evidence label.
What we have achieved.
Observed in production: workload-level Scope 2 attribution, measurable CO2 reductions through carbon-aware placement and scheduling, and audit-ready evidence behind every figure. Each card is labeled by evidence type so observed, validated, and modeled outcomes stay visually distinct.
Observed in production workloads. Varies by workload and region. Not a guarantee for any specific workload.
Demonstrated in controlled MAIZX optimization environments. Not yet generalized to all production workloads.
Reduction within the observed operating range; up to ~14K tCO2/yr modeled upside. Modeled, not achieved.
Static placement is the bug. Adaptive orchestration is the fix.
Most cloud architectures pick a region once and never revisit the choice. Grid intensity, energy price, and demand change every minute. Climate value comes from acting on those signals, not from reporting on them after the fact.
Static placement
Region chosen at deploy time. Emissions track whatever the local grid happens to do.
Adaptive orchestration
Placement responds to grid intensity, cost, latency, and constraints in real time, with every decision recorded against workload-level Scope 2.
Every reduction starts as a routing decision.
MAIZX decides where and when each workload runs, weighing carbon alongside cost, latency, sovereignty, and availability. If a workload can shift without breaking its constraints, it does.
Signals weighed in real time
Live gCO2/kWh per region and hour, ranked against current grid mix.
Spot and contracted prices, including curtailed-renewable opportunities.
Per-route latency budgets so placement never sacrifices SLA targets.
Jurisdiction and data residency treated as hard constraints, not preferences.
Deadline, elasticity, and shiftability define how aggressively temporal shifting applies.
Capacity, utilization, and failure signals across regions and nodes.
Infrastructure telemetry, not an ESG report.
Filter, compare, drill down, export. The Carbon Ledger is the operational anchor of GREENPOW: workload-level Scope 2 attribution with evidence labels on every value.
Carbon Ledger - live view
Scope 2 attribution per workload, tenant, region, and time window. Backed by live telemetry when connected, otherwise by a clearly-labeled sample dataset.
Scope 2 over time
No telemetry in the selected window.
By region
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By workload
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By tenant
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Evidence mix (share of Scope 2)
Figures carry evidence labels (Observed / Measured / Modeled / R&D validated) per our claims policy. Sample mode uses representative values for illustration only.
Every figure answers five questions.
Methodology and evidence labels live together. The accordion below covers commitments. The scale beside it explains what each label means and where it applies.
Evidence labels
- Observed01
Seen in production workloads on real infrastructure. Varies by workload and region.
- Measured02
Quantified from instrumented telemetry with a defined measurement methodology.
- Modeled03
Calculated from a documented model and inputs (for example, deployment size, grid intensity, utilization).
- R&D validated04
Demonstrated in controlled MAIZX optimization environments, not yet generalized to all production workloads.
- Projected05
Forward-looking estimate based on stated assumptions. Not a commitment.
- Target06
An internal goal we are working toward, not an achieved result.
Projections, modeled upside, benchmarks, and targets are never presented as achieved facts.
What you can verify from this view
- Scope 2 per workload
Per workload, tenant, and service. Never aggregated into a single account-wide number.
- Time-window attribution
Hourly, daily, and rolling windows aligned with how CSRD asks for Scope 2.
- Side-by-side comparison
Workloads, tenants, and regions compared with absolute and percentage deltas.
- Placement decisions
The MAIZX log: which workload moved where, when, and which signals drove it.
We do not claim zero emissions, fully sustainable infrastructure, or guaranteed carbon reduction. We use precise language: reduce, optimize, improve visibility, support lower-carbon decisions, enable carbon-aware scheduling, and compensate residual emissions.
See the platform behind the proof.
Bring your workloads, regions, and constraints. We will show MAIZX placement decisions and Carbon Ledger evidence on a setup that looks like yours.