Institutional-grade climate risk quantification for enterprises, investors, and regulators. Built for capital allocation, regulatory compliance, and enterprise climate-risk decision making.
Every score is traceable through a seven-stage pipeline from raw assessment data to a final rated output. No black-box logic.
Each pillar measures a distinct dimension of climate risk and readiness. Pillar weights adjust by industry — a bank's transition risk weight differs from a cement producer's.
A 16-grade letter rating scale from AAA to D — structured to be intuitive for institutional audiences. A company can hold a high performance rating but a low confidence score — both are always reported separately.
Every assessment answer receives an evidence status. Unverified claims receive score penalties; high-quality verified evidence earns score uplift. No answer is taken at face value.
A company can hold an AAA rating with Low Confidence — meaning the score is provisionally high but based on limited evidence. Both scores are always reported separately.
Eight automated detection rules flag inconsistencies between disclosed commitments and verifiable evidence. Triggered flags escalate the Greenwashing Risk level independently of the CIS score.
Base financial exposure is translated into four NGFS-aligned scenario impact projections. Revenue-at-risk multipliers are calibrated against NGFS transition pathway assumptions.
| SCENARIO | PATHWAY TYPE | REVENUE MULTIPLIER | PRIMARY DRIVER | ASSET RISK PROFILE | APPLICABLE TO |
|---|---|---|---|---|---|
| 1.5°C | Orderly Transition | ×0.85 | Policy-driven, high upfront cost | Low physical / High transition | All sectors — best case policy alignment |
| 2°C | Delayed Transition | ×1.00 | Moderate policy + physical risk | Medium physical / Medium transition | Reference baseline for all assessments |
| 3°C | Disorderly Transition | ×1.45 | Policy failure + rising physical risk | High physical / Low transition cost | High-exposure sectors (energy, real estate, agriculture) |
| 4°C | Hot House World | ×2.10 | Catastrophic physical impacts | Critical physical / Minimal transition | Worst-case stress test — all sectors |
The CIS draws from five distinct data layers. Company-submitted data is always cross-referenced against external geospatial, financial, and regulatory intelligence.
Every completed assessment automatically generates an 18-component intelligence package — boardroom-ready, investor-grade, and fully auditable.