Green AI compute, verified at the workload level.
Carnet measures, rates, and verifies the electricity and carbon profile of AI workloads, connecting power data, clean energy claims, and hardware carbon into one trusted record.
Attribution across power, carbon, clean energy, and hardware.
Evidence room
From compute activity to verified green compute records.
Carnet connects AI infrastructure data, grid signals, renewable matching, hardware carbon, and third-party evidence workflows into one auditable record.
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AI compute needs a finer carbon standard.
Facility-level totals are no longer enough. Buyers, operators, and public authorities need a way to understand which workloads are clean, verifiable, and attributable.
Clean power is becoming a constraint on expansion.
AI parks and data centers need credible clean energy and carbon plans to secure capacity, approvals, and growth.
AI emissions must be allocated beyond the facility.
Cloud, model, and enterprise customers need workload-level allocation for procurement, Scope 3, and product reporting.
Green claims need evidence before they can be accepted.
Renewable coverage, carbon intensity, and hardware emissions need records that buyers and verifiers can trust.
A platform for compute carbon attribution, ratings, and records.
Carnet is built for the intersection of AI infrastructure, energy data, carbon methodology, and green asset recognition.
One chain of custody from compute activity to trusted green attribute records.
Built for the organizations that have to prove green compute.
Each customer enters from a different pressure point, but the underlying need is the same: a trusted record of compute attributes.
Plan AI capacity around clean power and carbon constraints.
Support approvals, allocation decisions, and local energy planning with transparent compute carbon accounting.
Allocate clean power and emissions across customers.
Move from facility-level reporting to customer, workload, and product-level allocation with evidence.
Procure AI compute with verified green attributes.
Compare compute options, document claims, and report AI-related emissions with a defensible basis.
Audit-grade methodology for the AI infrastructure stack.
Carnet combines energy data, carbon factor intelligence, hardware-aware allocation, and third-party evidence workflows.
Historical, real-time, and forecast carbon intensity.
Map compute regions to grid carbon signals and renewable matching rules so claims reflect where and when power is consumed.
From facility totals to API, token, and customer records.
Attribute energy and emissions with a clear allocation basis that can be reviewed, versioned, and explained.
Operational carbon is only one part of compute impact.
Incorporate servers, GPUs, memory, storage, cooling, and semiconductor lifecycle emissions into compute records.
Evidence rooms for claims that need to be accepted.
Connect procurement records, meter data, methodology versions, and verifier review into one auditable workflow.
Make green compute records recognizable, traceable, and ready for market use.
Carnet does not need to overclaim what markets will become. It builds the record layer first: evidence, ratings, ownership, and anti-double-counting controls for green compute attributes.
Built between AI infrastructure and energy markets.
Energy platforms understand clean power. AI companies understand compute. Carnet connects the two with carbon methodology, data systems, and evidence workflows designed for green AI infrastructure.
Designed for adoption before regulation catches up.
Workload-level compute carbon accounting helps governments, operators, and buyers make decisions today while creating the records needed for future disclosure, procurement, and market recognition.
Make AI compute accountable before it becomes constrained.
Use Carnet to measure, rate, optimize, and register green compute attributes with evidence that customers and verifiers can trust.