The Climate Risk You Haven’t Priced Is Still on Your Books.
Regulators, reinsurers, and your own credit committee are moving to asset-level physical risk numbers under TCFD, IFRS S2, and Basel III. The CRI Engine prices yours now — Capital-at-Risk, EBITDA compression, and audit-ready disclosure under SFDR, EU Taxonomy, PCAF and TNFD too — before the gap becomes someone else’s finding.
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§01 · Live, Not a Mockup
Analyse a real company, right now.
Type a company with industrial sites. The engine finds its mapped facilities, reads flood maps and cyclone tracks at the largest ones, applies the carbon prices in force there, and prices the loss to 2050 under each NGFS scenario. No sample data, no canned demo.
Assets & Emissions Modelled For
No logo wall yet — an open validation record instead
§02 · Scale & Coverage
Any coordinate on Earth, not a pre-mapped database.
No fixed asset list to miss you. The engine downscales live hazard data worldwide, running on a stack built for both depth of modelling and width of coverage.
§03 · Interactive
Drag the year. Change the scenario.
The same Monte Carlo loss distribution every Story Report runs on, exposed as something you can actually move. Switch between NGFS-style pathways and scrub from 2026 to 2050 to see how fast the expected loss — and its tail — compounds depending on how late the transition actually happens.
Expected loss, 2050
25.8%
$129.0M of a $500M asset
1-in-20 outcome
$348.3M
Illustrative sample output on a $500M refinery asset (the same sample behind the Story Reports example on /platform), not a live client portfolio. A real run prices your own assets against mapped hazards and the carbon policy actually in force where they sit.
§04 · Our Mandate
Three practices. One discipline: translating physical reality into financial language.
§05 · Under the Hood
The CRI Engine, at a glance.
Every conclusion we deliver traces back to a geospatial pipeline built on IPCC AR6 hazard matrices and NGFS Phase 4 scenarios. Asset coordinates in, Capital-at-Risk out, with full methodological transparency at every step. The same engine also forecasts where that score moves through 2050, scans a company's own disclosures for the gap between claims and capex, and can work through an entire watchlist unattended. This is a look at three of the modules underneath.
Site-level · Flood · Cyclone · Water
§06 · Recent Intelligence
Research from the desk
See how we screen 10,000 assets in seconds.
Book a Technical Demo, no obligation and no boilerplate deck.
Book a Technical DemoSentinel-2 L2A, Lauterbrunnen Valley, Swiss Alps (24 Jul 2026), via AWS Earth Search