Reviewed by the AiGreenTools Editorial Team · Last Updated: July 2026
| Founded | 2017, San Mateo CA — Co-founder & CEO Rich Sorkin |
| Platform | ClimateScore Global — physical climate risk analytics |
| Best for | Banks, insurers, asset managers, institutional investors, utilities, regulated asset operators |
| Coverage | 22.3 billion locations · 22,000+ metrics each · >1 PB data · 9 perils · to 2100 |
| Pricing | Custom / Enterprise — SaaS app · enterprise API · tailored analytics support |
| AI Classification | AI Native — CMIP6 + ERA5 + proprietary ML; Jupiter AI generative NL querying |
| Science | Peer-reviewed, transparent, auditable — Model-Risk-Management (MRM) grade |
| Maturity Stage | Stage 4 |
| Partners | PwC UK (TCFD analytics) · Boston Consulting Group (implementation) · SEI (research) |
Jump to:
The hazard-to-decision gap ·
ClimateScore Global ·
Adaptation ROI & financial translation ·
TCFD, CSRD & MRM ·
vs. ClimateAI vs. Clarity AI ·
Who should not buy
Knowing a Flood Is Coming Isn’t a Decision. Jupiter Closes the Gap Between Hazard and Action.
A bank holds a large commercial real estate and infrastructure loan book, and its regulator now requires climate physical-risk disclosure and stress testing. The risk team assembles flood maps from one source, wildfire data from another, heat projections from a third — each at different resolution, on different scenarios, with different time horizons, and none with the documented, auditable methodology the bank’s Model Risk Management function will accept.
Even where the hazard is mapped — “this substation faces one meter of flooding by 2050” — the team hits the wall that defeats most climate risk programs. They cannot translate that flood into what the credit committee actually needs: the expected loss on the loan, the hit to the borrower’s cashflow, the change in collateral value. And when someone asks whether to fund the flood barrier, there is no way to calculate whether it pays for itself.
Jupiter Intelligence, founded in 2017 by Rich Sorkin, built ClimateScore Global to close exactly this gap — between knowing a physical climate risk exists and making a defensible financial decision about it.
ClimateScore Global — Planet-Scale Risk on Defensible Science
The platform’s scale and scientific rigor are the foundation of everything Jupiter does.
| Dimension | Detail |
|---|---|
| Coverage | 22.3 billion locations — the entire planet’s surface |
| Depth | 22,000+ metrics per location · over 1 petabyte of climate data |
| Perils | 9 modeled — flood, heat, drought, tropical cyclones, wind, wildfire, hail, precipitation and more |
| Scenarios | 3 (SSP1-2.6, SSP2-4.5, SSP5-8.5) · 5-year increments · to 2100 |
| Science | CMIP6 climate models · ERA5 reanalysis · proprietary ML |
| Granularity | Single site · multinational entity · linear-asset corridors (pipelines, railways) · full portfolios |
🔬 Why “transparent and peer-reviewed” is the whole point
A bank cannot use a black-box climate model for regulatory capital, stress testing or disclosure — the Model Risk Management function will reject it. ClimateScore Global’s methodology is peer-reviewed, transparent and auditable specifically so it clears MRM validation and regulatory review. The explicit uncertainty bounds are a feature, not a caveat: rigorous model validation requires uncertainty to be visible, not hidden.
From Hazard to Finance — and to Adaptation ROI
Jupiter’s central differentiator is what happens after the hazard is mapped. As the company’s head of science put it, the platform originally told users “there was one meter of flooding in a particular facility” — then added an economic impact layer to express that in dollar terms.
The financial translation layer converts hazard into:
- Credit risk and expected loss — the metrics lending and investment committees use
- Cashflow impact — how a peril affects a borrower’s or asset’s cash generation
- OpEx, CapEx and revenue loss — operational and financial performance drivers
The July 2025 upgrade extended this from measurement into action with four capabilities:
| Capability | What it does |
|---|---|
| Jupiter Adaptation | Quantifies avoided losses and calculates ROI across 10+ adaptation strategies — should you fund the flood barrier? |
| Jupiter Entity Modeling | Climate risk on securities, funds, corporates and investment vehicles — not just physical sites |
| Jupiter MetricEngine | Custom return periods, exceedance probabilities, daily threshold counts, loss distributions, synthetic weather years for crop modeling |
| Jupiter Adaptation Hub | The embedded workspace unifying adaptation analysis within the platform |
⚡ The question most climate tools can’t answer: “So what do we do?”
Jupiter Adaptation calculates avoided losses and ROI across 10+ adaptation strategies, so a flood barrier, a roof upgrade or a relocation gets a return-on-investment number attached. This moves the platform from a risk-awareness tool to a capital-allocation tool — Jupiter is positioned as the first solution to unify entity-level modeling, ROI-backed adaptation, and MRM-grade metrics in one place.
Jupiter AI, the platform’s generative AI layer, lets users ask guided natural-language questions about climate risk over chosen time frames and return periods — accelerating time-to-value for non-technical risk, finance and investment users who don’t need to be climate scientists to interrogate the data.
TCFD, CSRD, ISSB and Model Risk Management
Jupiter’s regulatory fit is a core reason institutions adopt it. The platform’s outputs support the disclosure frameworks that increasingly mandate physical-risk quantification.
| Framework | Requirement | How Jupiter helps |
|---|---|---|
| CSRD / ESRS E1 | Physical climate risk disclosure | Asset- and portfolio-level physical risk across scenarios to 2100 |
| TCFD | Scenario-based climate risk reporting | PwC’s Physical Climate Analytics (powered by Jupiter) feeds TCFD statements |
| ISSB | Investor-grade climate disclosure | Finance-grade, auditable metrics for reporting |
| Model Risk Management | Transparent, validatable models | Peer-reviewed, documented methodology that clears MRM review |
For the disclosure context, see our CSRD guide — Jupiter addresses the physical risk half of ESRS E1, complementing the emissions/transition side covered by carbon platforms. For that side, see Watershed and our AI carbon accounting guide.
Jupiter vs. ClimateAI vs. Clarity AI — Three Different Climate Jobs
| Dimension | Jupiter Intelligence | ClimateAI | Clarity AI |
|---|---|---|---|
| Core job | Finance-grade physical climate risk + adaptation ROI | Physical climate risk for supply chains & agriculture | ESG data, ratings & regulatory (SFDR) analytics |
| Primary buyer | Banks, insurers, asset managers, utilities | Ag, food & beverage, operations/procurement teams | Asset managers, funds — ESG/SFDR compliance |
| Output | Credit/loss/cashflow metrics, adaptation ROI, MRM-grade | Operational supply-chain risk, seasonal-to-decadal forecasts | ESG scores, PAI indicators, sustainability data |
| Risk type | Physical (asset-level, financial) | Physical (supply chain, operations) | ESG / transition / sustainability data |
| Regulatory fit | TCFD, CSRD ESRS E1 physical, ISSB, MRM | Operational resilience, some disclosure | SFDR, CSRD ESG data, EU Taxonomy |
| Best for | Regulated institutions quantifying physical risk financially | Companies protecting physical supply chains | Investors needing ESG ratings & regulatory data |
The three are complementary. A bank might use Jupiter for physical-risk capital decisions, Clarity AI for its funds’ ESG/SFDR reporting, and a carbon platform for financed-emissions — each answering a different climate question. Against direct physical-risk peers, Jupiter competes with S&P Climanomics, MSCI Climate Lab, Moody’s RMS (insurance-grade catastrophe pricing) and Climate X / Repath (Repath stronger on renewable yield forecasting); Jupiter’s edge is the combination of finance-grade translation, adaptation ROI and MRM-grade transparency.
Who Should Not Choose Jupiter Intelligence?
Organizations needing ESG ratings, SFDR data or carbon accounting should look elsewhere — Jupiter is a physical climate risk tool, not an ESG data provider or carbon platform. For ESG ratings and regulatory data see Clarity AI; for carbon accounting see Watershed or Persefoni.
Companies whose need is agricultural or supply-chain physical risk — protecting crops, sourcing, and operations from seasonal-to-decadal climate variability — should evaluate ClimateAI, which is purpose-built for that operational use case rather than financial-institution risk quantification.
Renewable operators needing yield forecasting — projecting how climate variables affect solar efficiency or wind production — will find Repath purpose-built for yield projection, where Jupiter focuses on physical damage and financial risk rather than generation output. And smaller organizations needing to understand risk to a handful of sites may find Jupiter’s enterprise depth disproportionate, and could access it through a PwC or BCG engagement rather than a direct license.
The Verdict on Jupiter Intelligence
Jupiter Intelligence is the right platform for regulated financial institutions and asset operators that have moved past climate risk awareness and need finance-grade physical risk quantification they can defend to a regulator and act on with capital. The combination that defines it — planet-scale coverage on peer-reviewed CMIP6/ERA5 science, financial translation into credit and loss metrics, MRM-grade transparency, and the Jupiter Adaptation ROI engine — is precisely what banks, insurers and asset managers need to turn a flood map into a lending decision and an adaptation budget.
The honest context is that physical climate modeling is an evolving science with real uncertainty that no platform eliminates; Jupiter’s strength is that its transparency and uncertainty bounds make that uncertainty visible and validatable rather than hidden. It is also deliberately deep rather than broad — a physical-risk specialist, not a one-stop climate platform. For the regulated institution whose need is exactly finance-grade physical risk plus adaptation ROI, Jupiter is among the strongest choices in the market, reinforced by PwC, BCG and SEI partnerships that validate its defensibility for consequential decisions.
