Skip to main content
CompareFloodlight vs XDI
Updated: Week of 2026-07-20

Floodlight vs XDI

Physical climate risk analytics provider (Cross Dependency Initiative) delivering engineering-grade Average Annual Loss and damage-ratio modelling for assets, infrastructure, and sovereign portfolios.

Floodlight: 15/15 full
XDI: 4/15 full
6 features not supported
xdi.systems
Data Foundation
Feature
Floodlight
XDI

Satellite-verified emissions data

Emissions figures derived from independent atmospheric satellite observations, not reported disclosures or emissions factors.

Asset-level monitoring

Emissions and risk scores tied to individual facilities, buildings, or assets - not rolled-up sector or company averages.

Independent third-party verification

Data produced without reliance on issuer self-disclosure; independently reproducible and auditable by third parties.

Continuous / near-real-time monitoring

Emissions tracked on an ongoing basis with alerts for anomalies; not a once-a-year snapshot.

Global asset coverage (190+ countries)

Coverage of industrial and commercial assets worldwide, not limited to North America or Western Europe.

GHG Emissions
Feature
Floodlight
XDI

Scope 1 direct emissions

Direct emissions from owned or controlled sources including combustion, process emissions, and fugitive releases.

Scope 3 / PCAF financed emissions

Financed emissions across lending and investment portfolios aligned with PCAF data quality scores 1-3.

CBAM embedded emissions reporting

Facility-level embedded emissions per CN code for EU Carbon Border Adjustment Mechanism importer reporting.

Climate Risk
Feature
Floodlight
XDI

Physical climate risk assessment

Asset-level exposure scores for flood, heat stress, wildfire, sea-level rise, water stress, hurricane, and other perils.

XDI is engineering-grade for infrastructure and asset damage modelling.

Transition risk assessment

Exposure to regulatory carbon costs, stranded-asset risk, and technology disruption under decarbonisation scenarios.

Climate Value-at-Risk (Climate VaR)

Probabilistic financial loss estimate under named climate scenarios, in the same units as market and credit VaR.

XDI reports Average Annual Loss / damage ratios rather than a market/credit-style Climate VaR.

NGFS Phase V scenario alignment

Stress-testing across all six NGFS Phase V reference pathways (Net Zero 2050, Below 2C, Delayed Transition, etc.).

Regulatory Compliance
Feature
Floodlight
XDI

CSRD / ESRS E1 compliance

Data mapped to CSRD ESRS E1 data-point IDs including E1-5, E1-6, and E1-9 financial-effects table.

Auditability
Feature
Floodlight
XDI

Full audit trail and data provenance

Every figure traceable to satellite overpass, model version, and confidence band - reproducible by external reviewers.

Platform
Feature
Floodlight
XDI

REST API access

Programmatic access to all data via documented REST API with pre-trade and portfolio query modes.

Full supportPartial supportNot supported

Honest verdict

Where Floodlight wins

XDI's output is Average Annual Loss (AAL) and damage ratios grounded in engineering asset models, but it does not produce a probabilistic Climate Value-at-Risk figure in market/credit-VaR terms, and it has no emissions-measurement capability. Floodlight expresses physical risk as Climate VaR alongside satellite-verified Scope 1 emissions, giving risk and sustainability teams one consistent, auditable data source instead of two separate ones.

Where XDI wins

XDI has strong engineering-asset-model depth - it models physical damage mechanisms (structural, foundation, flood-height thresholds) at a level of granularity aimed at engineers and infrastructure planners, and has been used in sovereign and multilateral-development-bank infrastructure resilience studies. For infrastructure-heavy portfolios where engineering-grade damage modelling matters more than financial VaR framing, XDI is a strong specialist choice.

Ready to see Floodlight in action?

Schedule a demo to learn how Floodlight can help you monitor emissions and assess climate risk with satellite-verified data.