Best Climate Risk Analytics Platforms for Infrastructure Investors [2026]

Climate risk analytics platforms enable infrastructure investors to understand how physical climate hazards affect asset performance, financial returns, and portfolio value. This evaluation examines six leading platforms across 23 technical and commercial criteria, with emphasis on energy infrastructure applications.

How We Evaluated These Platforms

Assessment covered four evaluation categories:

• Technical capabilities (7 criteria): hazard coverage, climate model generation, scenario availability, time horizons, spatial resolution, return periods, uncertainty quantification
• Financial and operational metrics (5 criteria): financial translation quality, yield and production projection, adaptation ROI modeling, equipment-level analysis, DCF integration readiness
• Regulatory and compliance alignment (6 criteria): TCFD, CSRD, ESRS E1, ISSB (IFRS S2), EU Taxonomy, SEC Climate Rules
• Commercial considerations (5 criteria): primary strength, energy infrastructure suitability, vendor scale, pricing tier, API access

Quick Comparison: Six Leading Platforms

Platform	Hazards	Climate Models	Resolution	Yield Projection	Pricing
Jupiter Intelligence	9	CMIP6 + ERA5	90m flood, 1km other	Limited	Enterprise
S&P Climanomics	8+	CMIP6 (NASA NEX)	Variable	Limited	Enterprise
Moody’s RMS	400+ models	CMIP5/6 hybrid	30m-1km	Limited	Enterprise
MSCI Climate Lab	28	CMIP6	Company/site level	Limited	Enterprise
Climate X	16	CMIP6	30m	Limited	Mid-market
Repath	10+	CMIP5/6 (400 model ensemble)	11km-30m	Core capability	Mid-market

What Infrastructure Investors Need

Will this asset perform as modeled?

Yield underperformance remains persistent. Solar assets typically underperform by approximately 5% on average, while wind assets experience 5-10% shortfalls below expectations. Equipment responses to changing conditions - inverter thermal stress failures, tracker malfunctions, accelerated panel degradation - often drive underperformance beyond resource variations alone.

What will this cost, and when?

Investment committees require financial translation beyond risk scores. A “high risk” designation lacks utility without currency-quantified expected annual losses, operational cost increases, and revenue exposure over specific timeframes.

Can I justify resilience investments?

With constrained CapEx budgets, resilience measures compete for priority allocation. Investors need adaptation ROI calculations demonstrating whether flood barriers or equipment upgrades generate returns within hold periods.

Platform Reviews

Jupiter Intelligence

Optimal for large financial institutions requiring enterprise-grade infrastructure and regulatory compliance. Strong climate science credibility utilising CMIP6 models and ERA5 reanalysis across nine physical hazards. Financial metric outputs cover OpEx, CapEx, revenue loss, and credit risk projections.

S&P Global Climanomics

Optimal for investors seeking broad asset type coverage and ESG workflow integration. Features 270+ asset type proprietary impact functions covering pipelines, networks, and renewable installations. NASA Earth Exchange CMIP6 data foundation.

Moody’s (incorporating RMS)

Optimal for investors requiring insurance-grade catastrophe modeling and extensive historical loss data. 400+ risk models across 120 countries with insurance-grade probabilistic loss modeling and actuarial rigor.

MSCI Climate Lab

Optimal for mixed portfolio investors spanning listed equities, fixed income, and real assets. Multi-asset class coverage with 28 physical hazards and nature risks assessment.

Climate X

Optimal for investors requiring strong adaptation ROI capabilities alongside physical risk assessment. Features 16 hazard coverage across 8 warming scenarios over 100-year horizons with financial loss translation.

Repath

Optimal for energy infrastructure investors needing engineering-level climate analysis translating to yield and investment decisions. Energy infrastructure specialisation with yield projection integration, equipment-level threshold analysis, and approximately 400 CMIP climate model ensemble showing P10-P90 uncertainty ranges.

Decision Framework

1. Portfolio composition: Diversified -> MSCI; Multi-sector infrastructure -> S&P Climanomics; Energy-focused -> Repath
2. Primary use case: Regulatory reporting -> Jupiter/S&P/MSCI; Catastrophe exposure -> Moody’s RMS; Due diligence pricing -> Climate X/Repath; Yield forecasting -> Repath
3. Financial translation needs: Risk scores -> Most platforms; Financial impact estimates -> Climate X/Jupiter/Repath; DCF-ready adjustments -> Repath/Climate X
4. Adaptation ROI analysis required: Real estate interventions -> Climate X; Energy resilience -> Repath; Risk quantification only -> Jupiter/S&P/Moody’s/MSCI
5. Vendor requirements: Household-name credibility -> S&P/Moody’s/MSCI; Specialist depth -> Repath/Climate X

No platform dominates universally. The strategic question has shifted from “should we assess climate risk?” to “how do we integrate climate risk analytics into every deal?”