Carbon accounting arrive months after carbon was emitted. National averages smooth the signal flat. Annual reporting cadence buries the only volatility that matters: the hour-by-hour electricity mix that actually powered your workload.
Ambra ties every cloud resource to the actual mix that powered it, at the datacenter, at the hour. Carbon and cost become two faces of the same decision, and both become actionable.
Spectrum measures cloud emissions at the resource level. Delta turns that signal into the recommendations that cut carbon and cost. Both are powered by Nodera's hourly, datacenter-level grid intensity. No second data pipeline, no second source of truth.
One connector per resource category, each pulling real usage from the cloud's own monitoring API. AWS and GCP today, across the categories that drive the majority of cloud emissions.
Every AWS and GCP region is mapped to the physical datacenter that powers it. When a region spans multiple sites, Ambra averages the local hourly intensity of each, weighted by capacity. Workloads inherit the grid signal of where they actually ran, not a national disclosure.
Learn more about local carbon intensity →Ambra reads what each cloud resource actually used, converts that usage into energy with research-backed coefficients, then multiplies the result by Nodera's hourly, datacenter-level grid intensity. Every step is auditable; every output cites its inputs.
CSRD and BEGES now expect the granularity Ambra produces by default: hourly, location-based, traceable to the resource. Reports come out of Spectrum with the methodology already documented.
Hourly, resource-level emissions wired into the same tools your team already uses. Delta turns the signal into a ranked backlog of optimizations, not a dashboard your team has to interpret on its own.
Spectrum and Delta compute emissions and savings from the same usage and pricing data. The trade-off conversation between sustainability and spend happens once, with both numbers on the table.
