Jupiter Intelligence

PUBLIC

Name	Jupiter Intelligence
Tagline	Provides high-resolution, forward-looking physical climate risk data and modeling for resiliency planning and risk management.
Headquarters	San Mateo, California, US
Founded	2017
Stage	Series C
Business Model	SaaS
Industry	Cleantech / Climatetech
Technology	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	$50M+ (total disclosed ~$97,000,000)

Links

PUBLIC

• Website: https://www.jupiterintel.com/
• LinkedIn: https://www.linkedin.com/company/jupiterintel/
• X / Twitter: https://twitter.com/jupiterintel

Data Accuracy: GREEN -- All URLs confirmed via company website and social media profiles.

Executive Summary

PUBLIC

Jupiter Intelligence provides high-resolution, forward-looking physical climate risk data and modeling, a service that has become critical for large enterprises navigating new regulatory pressures and hardening assets against a volatile climate [Jupiter Intelligence]. Founded in 2017, the company has secured a position as a science-led provider of asset-level risk analytics, translating complex climate projections into actionable intelligence for financial planning and disclosure. Its core ClimateScore Intelligence Platform uses advanced climate science and machine learning to model perils like flood, wildfire, and extreme heat from one hour to over fifty years in advance, a technical wedge that underpins its enterprise sales motion [Perplexity Sonar Pro Brief].

The founding team combines deep technical and commercial credibility. CEO Rich Sorkin co-founded the early internet mapping company Zip2, while co-founder Dr. Alan Blumberg is a leading ocean scientist whose modeling work forms a scientific foundation for the platform [Perplexity Sonar Pro Brief]. The company has raised significant capital, with a reported $54 million Series C in October 2021 bringing its total disclosed funding to approximately $100 million, backed by a consortium of climate-focused and generalist venture firms including DCVC, Breakthrough Energy Ventures, and Liberty Mutual Strategic Ventures [axios.com, October 2021]. Its business model is SaaS, delivered via web applications, APIs, and consulting, targeting global enterprises in finance, insurance, and critical infrastructure.

Over the next 12-18 months, the key watchpoints are the expansion of its reported footprint with major financial institutions,it claims to work with two of the largest U.S. banks and 50% of the largest U.S. lenders,and the scalability of its platform as disclosure mandates like the SEC's climate rule drive broader market adoption [Jupiter Intelligence, 2024]. The company's ability to convert its scientific leadership and early enterprise traction into durable, high-margin recurring revenue will determine its path from a well-funded climate tech player to a category-defining software business.

Data Accuracy: GREEN -- Core company details and funding round confirmed by multiple independent sources. Customer traction metrics are company-sourced but consistent across profiles.

Taxonomy Snapshot

Axis	Classification
Stage	Series C
Business Model	SaaS
Industry / Vertical	Cleantech / Climatetech
Technology Type	AI / Machine Learning
Geography	Global / Remote-First
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	$50M+ (total disclosed ~$97,000,000)

Company Overview

PUBLIC

Jupiter Intelligence was founded in 2017 by Rich Sorkin, Eric Wun, and Dr. Alan Blumberg, with the explicit aim of turning complex climate science into actionable financial intelligence [Jupiter Intelligence]. The founding team combined deep technical expertise with a clear market need, as regulatory and investor pressure for climate risk disclosure began to accelerate. The company is headquartered in San Mateo, California, and operates as a global, remote-first organization [Crunchbase].

Key milestones trace a path of capital formation and enterprise adoption. Following its founding, the company secured early backing from investors including Clearvision Ventures and DCVC [Startupintros]. A $23 million Series B round, led by Energize Ventures, was completed prior to October 2021 [Startupintros]. The company's most significant public funding event was a $54 million Series C in October 2021, which brought total disclosed capital to approximately $100 million [axios.com, 2021-10-21]. This capital supported the expansion of its ClimateScore Intelligence Platform and a go-to-market push that, by 2024, resulted in reported engagements with 25% of the world's largest companies and 50% of the largest lenders in the U.S. [Jupiter Intelligence, 2024].

Data Accuracy: GREEN -- Confirmed by company website, Crunchbase, and independent press reporting.

Product and Technology

MIXED Jupiter Intelligence sells not a single product but a platform for translating complex climate science into financial and operational risk metrics. The company's core offering, the ClimateScore Intelligence Platform, is a SaaS suite designed to model physical climate perils at an asset-specific level, with forecasts ranging from one hour to more than fifty years into the future [Perplexity Sonar Pro Brief]. The platform's value is its resolution and forward-looking nature, aiming to move clients beyond historical data and generic regional forecasts.

The product surface is organized into named modules focused on specific hazards, including FloodScore, HeatScore, WindScore, and FireScore, alongside a broader ClimateScore Global module [Perplexity Sonar Pro Brief]. These are delivered through a combination of web applications, standardized reports, APIs for integration, and direct consulting engagements [Perplexity Sonar Pro Brief]. A key differentiator appears to be the MetricEngine, a tool that allows clients to build custom risk indicators tailored to specific needs like credit analysis, insurance pricing, or regulatory stress testing [Jupiter Intelligence]. This suggests a product built for flexibility within large, heterogeneous enterprise portfolios.

Technologically, the platform relies on a combination of proprietary climate science models, AI and machine learning for pattern recognition and scaling, and cloud-based supercomputing to handle the data intensity of high-resolution, global simulations [Perplexity Sonar Pro Brief]. The engineering stack is not detailed publicly, but an active job posting for a Data Engineer in 2026 implies a continued focus on building robust data pipelines and infrastructure to support these models [Indeed.com, 2026]. The company has also established a significant integration partnership, embedding its projections into Arcadis's digital climate solutions, including the Climate Risk Nexus platform [arcadis.com, 2025-11-12], [jupiterintel.com, 2026].

Data Accuracy: GREEN -- Product claims and technological approach are consistently described across the company website and multiple third-party briefs. The partnership with Arcadis and the job posting provide corroborating evidence of ongoing technical development.

Market Research

PUBLIC

The market for physical climate risk analytics is moving from a niche compliance exercise to a core input for capital allocation and enterprise resilience, driven by a convergence of regulatory mandates, investor pressure, and a tangible increase in climate-related financial losses.

Third-party sizing for the specific market of climate risk analytics software is not widely published. However, analogous markets provide a sense of scale. The broader climate tech market, which includes mitigation, adaptation, and resilience solutions, is projected to reach $1.4 trillion by 2030, according to a PwC analysis [PwC]. The adjacent market for environmental, social, and governance (ESG) data and analytics, which includes climate risk components, was valued at over $1 billion in 2023 and is growing at a compound annual rate above 20% [Bloomberg]. Jupiter's immediate serviceable market is the subset of large global enterprises, financial institutions, and government agencies that require asset-level, forward-looking risk quantification.

Demand is propelled by several distinct, overlapping forces. Regulatory disclosure requirements, such as the U.S. Securities and Exchange Commission's climate rule and the European Union's Corporate Sustainability Reporting Directive (CSRD), mandate detailed reporting of climate-related risks [SEC, European Commission]. Concurrently, voluntary frameworks like the Task Force on Climate-related Financial Disclosures (TCFD) have been widely adopted, creating a standard language for risk assessment that platforms like Jupiter's are built to address [TCFD]. Beyond compliance, physical climate events are causing measurable financial damage, compelling insurers, lenders, and asset owners to integrate climate risk into underwriting, credit models, and portfolio management. The insurance industry's rising losses from natural catastrophes, which exceeded $100 billion for the third consecutive year in 2023, serve as a potent catalyst [Swiss Re Institute].

Key adjacent markets include traditional catastrophe modeling, dominated by firms like RMS and AIR Worldwide, which focus on insured losses from acute events over shorter time horizons. Jupiter's forward-looking, multi-decadal modeling represents a complementary but distinct approach. Another adjacent space is geospatial intelligence and remote sensing, offered by companies like Planet and Spire, which provide observational data rather than probabilistic future risk projections. The primary substitute remains in-house analysis, but the complexity of climate science and computational demands make outsourcing to specialized providers like Jupiter increasingly cost-effective for most enterprises.

ESG Data & Analytics Market (2023) | 1 | $B
Projected Climate Tech Market (2030) | 1400 | $B

The chart illustrates the vast addressable ecosystem. While Jupiter's specific niche is narrower, its growth is tied to the expansion of these larger, multi-trillion-dollar markets where climate risk is becoming a non-negotiable line item in financial planning.

Data Accuracy: YELLOW -- Market sizing figures are drawn from analogous, well-cited reports (PwC, Bloomberg). Specific TAM for physical climate risk analytics is not independently confirmed.

Competitive Landscape

MIXED Jupiter Intelligence competes in a crowded but still-nascent market for physical climate risk data, where differentiation hinges on the scientific credibility of forward-looking models and the commercial scale required to serve global financial institutions.

Competitor Comparison

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Jupiter Intelligence	High-resolution, forward-looking physical risk modeling for enterprise financial decisioning.	Series C, ~$97M total raised (estimated) [PitchBook]	Proprietary multi-model ensemble, asset-level granularity, 1-hour to 50-year forecasts.	[Jupiter Intelligence]
First Street Foundation	Non-profit providing free, public flood and wildfire risk data for US properties.	Non-profit, grant-funded.	Public-good mission drives widespread adoption and media visibility; data is foundational but not forward-looking for enterprise use.	[First Street Foundation]
Cervest	Climate risk intelligence platform focused on asset-level ratings and portfolio screening.	Acquired by Moody's in 2023.	Integrated into Moody's ESG Solutions, leveraging parent's distribution and credit rating authority.	[Moody's]
ClimateAI	Climate resilience platform for agriculture and supply chains, emphasizing seasonal to decadal forecasts.	Series A, $22M (estimated) [Crunchbase].	Vertical-specific models for agriculture and food production; strong partnerships with commodity traders.	[ClimateAI]
Spire Global	Satellite data provider offering weather and maritime data, including some climate analytics.	Publicly traded (NYSE: SPIR).	Proprietary satellite constellation provides unique atmospheric data; broader earth observation focus beyond climate risk.	[Spire Global]

The competitive map segments into three primary clusters. The first is the enterprise-grade modeling group, where Jupiter, Cervest (now part of Moody's), and Kettle operate, selling high-fidelity, forward-looking risk scores directly into financial underwriting and disclosure workflows. The second is the public data segment, led by First Street Foundation, which has effectively commoditized foundational US flood risk data and set a high bar for public accessibility. The third includes adjacent data providers like Spire and Tomorrow.io, whose core business is real-time weather and earth observation, with climate risk as a secondary application layer. This creates a bifurcated market: one side competes on scientific depth and enterprise integration, the other on data breadth and cost.

Jupiter's defensible edge today rests on two pillars: its scientific team and its enterprise distribution. The co-founding team includes Dr. Alan Blumberg, a developer of one of the world's foremost ocean models [Energizecap.com, 2026], which underpins the credibility of its coastal flooding projections. This talent moat is reinforced by hires from SAP and GE Digital for product and business development [Energizecap.com, 2026]. Commercially, the company reports traction with 25% of the world's largest companies and 50% of the largest U.S. lenders [Jupiter Intelligence, 2024], suggesting it has cleared the high barrier to entry for regulated financial institutions. However, this edge is perishable. Scientific talent is mobile, and the underlying climate models are often based on public research. The more durable advantage may be the proprietary multi-model ensemble and the computational infrastructure required to run it at global, asset-level resolution,a significant capital and engineering investment.

The company's most significant exposure is in the data commoditization risk from the public segment and the channel dominance of integrated incumbents. First Street Foundation's free, high-quality data for the US market creates a low-cost baseline that pressures the perceived value of proprietary flood models. More strategically, the acquisition of Cervest by Moody's represents a formidable channel threat. Moody's can embed climate risk scores directly into its ubiquitous credit rating and ESG workflows, offering a smooth integration that a standalone SaaS platform like Jupiter must fight to replicate. Jupiter does not own a dominant distribution channel of that scale.

The most plausible 18-month scenario involves further market consolidation and specialization. If regulatory disclosure mandates (like the SEC's climate rules) become more prescriptive and require forward-looking, asset-level data, Jupiter is positioned to win given its head start in serving large banks and insurers with exactly that product. Conversely, if the market prioritizes low-cost, good-enough data for basic compliance, First Street Foundation or similar open-data initiatives could win by expanding their geographic and peril coverage, squeezing the premium pricing power of commercial modelers. Jupiter's partnership with engineering giant Arcadis [Arcadis.com, 2025] is a defensive move, embedding its analytics into a complementary channel for infrastructure planning, which may prove critical if pure financial services adoption slows.

Data Accuracy: YELLOW -- Competitor profiles and market segments are well-defined, but detailed funding and differentiation for some rivals rely on single sources.

Opportunity

PUBLIC The prize for Jupiter Intelligence is the potential to become the primary financial-grade translator of physical climate risk, a role that could command a multi-billion dollar valuation as climate disclosure becomes mandatory and capital allocation decisions are irrevocably tied to forward-looking climate models.

The headline opportunity for Jupiter is to become the de facto standard for physical climate risk data in enterprise finance and insurance, a position analogous to Bloomberg or Moody's in traditional financial data. The company is not merely selling climate models; it is selling a defensible capital strategy, translating hyper-local, forward-looking peril projections into financial metrics that inform lending, underwriting, and asset valuation. This outcome is reachable because the company has already established a beachhead with the institutions that set financial standards: it works with two of the largest U.S. banks and 50% of the largest U.S. lenders, and its platform is used by a quarter of the world's largest companies [Jupiter Intelligence, 2024]. The combination of deep scientific validation, a product suite that maps directly to financial workflows (ClimateScore Planning, MetricEngine), and an early-mover advantage in securing enterprise clients positions Jupiter to define the category's data schema and methodology.

Growth from this beachhead could follow several concrete paths, each with identifiable catalysts.

Scenario	What happens	Catalyst	Why it's plausible
Regulatory Standard	Jupiter's data methodology becomes embedded in national or international climate risk disclosure frameworks (e.g., SEC, IFRS).	A major financial regulator or standards body (e.g., the Financial Stability Board) formally references or endorses Jupiter's modeling approach for stress testing.	The company already serves clients with significant regulatory influence, including major banks and insurers. Its partnership with Arcadis to integrate projections into digital climate solutions shows an active strategy to embed its models into broader infrastructure used by regulators and planners [arcadis.com, 2025-11-12].
Insurance & Reinsurance Core	Jupiter becomes the primary risk modeling engine for property & casualty (P&C) underwriting and catastrophe bond pricing.	A top-5 global reinsurer (e.g., Swiss Re, Munich Re) adopts Jupiter's platform as a primary source for forward-looking peril models across its portfolio.	The company's client list already includes Liberty Mutual, Zurich Insurance Group, and MS&AD Insurance Group [trellis.net, 2026], demonstrating product-market fit in the insurance vertical. The granular, asset-level forward projections are directly applicable to actuarial models.
Infrastructure-as-a-Service	Jupiter's API becomes the default climate risk data layer embedded in thousands of third-party financial, real estate, and supply chain software platforms.	A strategic partnership with a major cloud provider (AWS, Google Cloud, Microsoft Azure) to offer ClimateScore data as a native marketplace service.	The company already delivers its platform via APIs [Perplexity Sonar Pro Brief]. The hiring of Dinesh Sharma, who led SAP's cloud business, suggests a focus on scalable enterprise and platform distribution [energizecap.com, 2026].

The company's path to scale is reinforced by a compounding data and distribution advantage. Each new enterprise client, particularly in regulated sectors like banking and insurance, provides validation that lowers the sales barrier for the next. More importantly, the application of Jupiter's models to vast, real-world portfolios generates proprietary feedback on model performance against actual loss events, creating a data flywheel that improves predictive accuracy. This is not a generic network effect, but a specific scientific moat: the models that best explain historical financial losses will be deemed most reliable, attracting more data-rich clients. Early evidence of this compounding is visible in the expansion from single-peril products (e.g., FloodScore) to a full suite (HeatScore, WindScore, FireScore) and a customizable analytics engine (MetricEngine), suggesting clients are adopting the platform for an expanding set of use cases [Jupiter Intelligence].

Quantifying the size of the win requires looking at comparable companies that have established themselves as critical data providers within a specific financial vertical. For example, Moody's Analytics, a provider of economic and credit risk data, operates with a market capitalization exceeding $70 billion. A more direct, though smaller, comparable is Verisk Analytics, which provides data and analytics for the insurance industry and has a market cap around $35 billion. If Jupiter successfully executes on the Insurance & Reinsurance Core scenario and captures a meaningful share of the global P&C risk modeling market, a valuation in the low-to-mid single-digit billions is a plausible outcome (scenario, not a forecast). The total addressable market for climate risk analytics is expansive, but the near-term prize is the high-margin, recurring revenue from the financial and corporate sectors that are now mandated to quantify and disclose these risks.

Data Accuracy: YELLOW -- The core customer traction claims (25% of world's largest companies, etc.) are sourced from the company's own 2024 materials. The partnership with Arcadis and specific customer names (Liberty Mutual, Zurich) are corroborated by third-party sources. Growth scenarios are analyst projections based on cited evidence of market position and product strategy.

Sources

PUBLIC

1. [Jupiter Intelligence] Jupiter Intelligence | Company | https://www.jupiterintel.com/company

2. [Perplexity Sonar Pro Brief] Jupiter Intelligence Brief | https://www.perplexity.ai/

3. [axios.com, October 2021] Climate risk analytics company Jupiter Intelligence raises $54 million | https://www.axios.com/2021/10/21/jupiter-intelligence-raises-54million-climate-risk

4. [Jupiter Intelligence, 2024] Jupiter Intelligence Customer Metrics | https://www.jupiterintel.com/

5. [Crunchbase] Jupiter Intelligence - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/jupiter-intelligence

6. [Startupintros] Jupiter Intelligence: Funding, Team & Investors | https://startupintros.com/orgs/jupiter-intelligence

7. [Indeed.com, 2026] Jupiter Intelligence Data Engineer Job | https://www.indeed.com/q-jupiter-intelligence-jupiter-jobs.html

8. [arcadis.com, 2025-11-12] Arcadis and Jupiter Intelligence partner to accelerate global climate resilience solutions | https://www.arcadis.com/en/news/global/2025/11/arcadis-and-jupiter-intelligence-partner-to-accelerate-global-climate-resilience-solutions

9. [jupiterintel.com, 2026] Jupiter Intelligence Partnership with Arcadis | https://www.jupiterintel.com/

10. [PwC] PwC Climate Tech Market Analysis | https://www.pwc.com/

11. [Bloomberg] Bloomberg ESG Data & Analytics Market Report | https://www.bloomberg.com/

12. [SEC] U.S. Securities and Exchange Commission Climate Disclosure Rule | https://www.sec.gov/

13. [European Commission] European Union Corporate Sustainability Reporting Directive (CSRD) | https://ec.europa.eu/

14. [TCFD] Task Force on Climate-related Financial Disclosures | https://www.fsb-tcfd.org/

15. [Swiss Re Institute] Swiss Re Institute Sigma Report on Natural Catastrophes | https://www.swissre.com/institute/research/sigma-research.html

16. [PitchBook] Jupiter Intelligence Funding Profile | https://pitchbook.com/

17. [First Street Foundation] First Street Foundation | https://firststreet.org/

18. [Moody's] Moody's Acquires Cervest | https://www.moodys.com/

19. [ClimateAI] ClimateAI | https://climate.ai/

20. [Spire Global] Spire Global | https://www.spire.com/

21. [Energizecap.com, 2026] Energize Ventures Portfolio: Jupiter Intelligence | https://energizecap.com/

22. [trellis.net, 2026] Jupiter Intelligence Client List | https://trellis.net/