Nodera provides a platform that maps real‑time, location‑specific carbon intensity and electricity prices to help businesses optimize cloud workloads for lower emissions and costs. By measuring cloud footprints with datacenter‑level hourly grid data, it offers actionable recommendations and negotiates contract structures that turn greener compute into measurable savings.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations calculate cloud emissions using national average carbon intensity, which masks significant hourly and geographic variations in the electricity grid. This lack of precision prevents companies from aligning compute workloads with periods of low‑carbon, low‑cost electricity, limiting both emissions reductions and cost savings.
Solution
Nodera delivers a carbon‑aware IT platform that ingests datacenter‑level, hourly grid data on carbon intensity and electricity prices. The service measures the carbon footprint of each cloud resource in real time and provides workload scheduling recommendations that prioritize low‑carbon, low‑price periods. By quantifying flexibility, Nodera also designs and negotiates electricity contracts that translate greener consumption into measurable cost reductions for public and private cloud environments. The platform enables enterprises to make data‑driven decisions that lower Scope 2 emissions while optimizing cloud spend.
Target Audience
Primary customers are enterprise IT, GreenOps, and sustainability teams that manage multi‑cloud workloads and seek precise carbon accounting and cost optimization.
Features
- Resource‑by‑resource, usage‑based carbon accounting using hourly, datacenter‑level grid signals
- Automated recommendations for workload placement and timing to maximize carbon and cost savings
- Integration with public and private cloud environments for seamless data collection and control
- Contract design and negotiation service that monetizes flexibility into up to 15% electricity cost reductions
- Dashboard visualizing real‑time carbon intensity, price signals, and projected savings for IT and energy teams