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Use Case
M&V for Investment
The developer gives you a proforma. You discount it because they produced it. WattCarbon replaces that with hourly, continuous measurement from a trusted third party.
The Opportunity
What you're working with
You deploy capital into energy efficiency portfolios, DER projects, and clean energy infrastructure. Every dollar needs to be underwritten against verified performance data, not developer projections. You have seen deals where year-one savings looked great on paper but degraded without anyone noticing until the annual audit.
On WattCarbon, you build a continuous monitoring layer across your portfolio. Aristotle provides live performance data you can show your LPs, replacing the cycle of "hire an engineer, wait six weeks, get a PDF, repeat next year." When actual performance diverges from the pro forma, you see it the next morning.
Infrastructure
How WattCarbon helps
Aristotle is the independent performance auditor that never stops watching. Hourly data, continuous baselines, automated anomaly detection. At $0.20/kW/month, a 500 kW commercial project costs $100/month to monitor continuously. Compare that to a single engineering diligence report ($15,000 to $40,000) that is already stale by the time it arrives.
GridScore and CarbonScore translate raw performance into the metrics your LPs care about: grid impact and emissions reductions, independently verified.
WEATS certifies verified energy performance as Energy Attribute Certificates capturing energy, capacity, and carbon attributes. Each certificate has a unique serial number tied to a real asset, providing the auditable proof of impact your LPs require.
Getting Started
Typical setup
Connect 3 to 5 assets (in-portfolio or in-diligence) to the free sandbox. M&V starts immediately and is updated nightly from the moment data is connected. The M&V plan is developed collaboratively (WattCarbon, investor, developer) to ensure all parties agree on methodology.
Get your portfolio on the record.
Enroll your assets, get independent scores, and let the data speak for itself.