Underwrite the energy transition with confidence.
A U.S.-focused analytics platform that quantifies, models, and reports risk across Battery Storage, Nuclear SMR, and Geothermal projects — purpose-built for insurers, developers, banks, and regulators.
Purpose-built for next-generation clean energy
Generic energy models miss the risk drivers that define emerging technologies. We model each asset class on its own terms — from seismic exposure to license stage to cost benchmarks.
Battery Storage
Grid-scale and co-located storage modeled against NREL ATB cost curves, degradation profiles, and merchant/PPA revenue structures.
Nuclear SMR
Small modular reactors evaluated against NRC license stage, application status, and recent event severity — the regulatory factors that dominate SMR risk.
Geothermal
Conventional and enhanced geothermal systems scored on USGS seismic zones, event frequency, and technology cost ratios vs. benchmark.
From raw project data to capital requirements
One workspace to ingest projects, score risk, simulate losses, and report capital — with live market and regulatory data behind every number.
8-Factor Risk Scoring
Weighted composite across Technology, Regulatory, Construction, Counterparty, Physical, Financial, Operational, and Workforce risk.
Monte Carlo Simulation
10,000-trial loss distributions using a Cholesky-decomposed t-Copula with Poisson frequency and log-normal severity.
NAIC RBC Capital
C-1 through C-4 capital charges computed with the NAIC covariance formula — asset, insurance, interest-rate, and business risk.
Live Data Pipeline
Automated connectors pull NREL, EIA, USGS, FRED, and NRC data so scores reflect current market and regulatory conditions.
Portfolio Management
Organize projects into multiple portfolios with per-portfolio risk summaries, capital rollups, and side-by-side comparison.
AI-Assisted Import
Upload a CSV, Excel register, or a PDF term sheet — an AI agent maps unstructured documents straight into structured project fields.
Four steps from project to portfolio capital
Ingest projects
Add projects manually or let the AI agent extract them from spreadsheets and documents into structured records.
Sync live data
The pipeline refreshes cost benchmarks, seismic events, macro indicators, and reactor status from five public sources.
Score & simulate
The engine computes 8-factor composite scores and runs Monte Carlo to produce full loss distributions per project.
Report capital
Roll losses into portfolio-level NAIC RBC capital and export risk registers and RBC tables for review.
Eight weighted factors. Transparent by design.
Every composite score decomposes into eight factors with fixed weights summing to 1.0 — each driven by a specific, auditable data source.
Loss distribution
10,000-trial Monte Carlo with a Cholesky-decomposed t-Copula, Poisson frequency, and log-normal severity captures tail dependence between correlated projects.
NAIC RBC capital
Covariance formula across C-1 asset risk, C-2 insurance risk, C-3 interest-rate risk, and C-4 business risk, per the NAIC standard.
Correlation rollup
Subcomponent correlations mathematically aggregate into factor- and category-level matrices, keeping scores and simulations internally consistent.
Grounded in authoritative public data
Scores are only as good as their inputs. Every factor traces back to a named, refreshable source.
Report against the standard that matters
See your clean energy portfolio through a risk lens.
Launch the platform to model your projects, or reach out for a guided walkthrough tailored to your portfolio.