Jupiter Intelligence

Jupiter Intelligence is a climate-risk analytics company headquartered in San Mateo, California. It was founded in 2017 by Rich Sorkin (CEO), Eric Wun (COO), Josh Hacker (Chief Science Officer), and Alan Blumberg, plus a small group of advisors and a board director (Neal Wolin, former US Deputy Treasury Secretary). The product the company sells is data, not insurance: physical-risk scores that tell a buyer how floods, heat, wildfire, wind, and freeze are likely to hit a specific building, pipeline, substation, farm, or loan portfolio between now and 2100.

What "physical climate risk" actually means here. A bank wants to know whether a $400M office tower it has lent against will be uninsurable in 2045. A reinsurer wants to know whether the hurricane treaty it just wrote on Florida coastal homeowners will blow up the loss curve once sea-surface temperatures rise another half-degree. A power utility wants to know which substations sit in 100-year flood zones that will be 25-year zones by 2050. Jupiter's job is to convert peer-reviewed climate-model output (the same Global Circulation Models that the IPCC uses) into numbers those buyers can drop into their own pricing, capital, and disclosure workflows.

The product. The flagship is ClimateScore Global — a portfolio-level platform that scores up to 22.3 billion locations across multiple hazards, in 5-year increments, from now to 2100, under IPCC-aligned emissions scenarios. ClimateScore Planning is the asset-level companion for individual sites. Jupiter's own product line on the homepage now also lists RiskSignal, Adaptation Hub, Entity Modeling, MetricEngine, Compliance Hub, and an MRM Accelerator (the last aimed at the model-risk-management documentation that bank and insurance regulators ask for). Hazards covered include flood, heat, wildfire, wind, drought, and freeze.

Funding and ownership. Jupiter has disclosed roughly $97M across three named rounds, with several sources citing a cumulative total in the high $80M to low $100M range depending on how undisclosed extensions are counted. The headline rounds: a $23M Series B in March 2019 with Mitsui MS&AD, QBE Ventures, and Nephila Capital joining DCVC, Ignition Partners, and Energize Ventures; an undisclosed top-up in July 2020 from Liberty Mutual, MS&AD, and SYSTEMIQ; and a $54M Series C in October 2021 co-led by Clearvision Ventures and MPower Partners, with CDPQ as a major new investor and every prior major investor returning. The company remains private and independent.

Customers, partners, and the investor overlap. Jupiter publicly names MS&AD, Liberty Mutual, Aon, Zurich Insurance Group, and Chubb as strategic partners on its own Partners page. MS&AD launched climate services in Japan built on Jupiter analytics. Liberty Mutual ran a construction-industry pilot. In 2021 Jupiter spent ten weeks in Lloyd's Lab Cohort 6 working with four (unnamed) Lloyd's syndicates on UK flooding, North American hurricane, and global sea-level-rise use cases. Outside insurance, Jupiter's homepage cites Fannie Mae, BP, Equinor, Hawaiian Electric, AstraZeneca, Skanska, and JLL as customers, and the Series C release claimed roughly 30 Global 2000 clients plus US Department of Defense and FEMA engagements.

One thing worth being honest about: most of the named insurance customers — MS&AD, Liberty Mutual, QBE, Nephila — are also investors. That is not unusual in insurance data (early-stage analytics companies often sell first to strategics that have also bought equity), but it does mean independent commercial references from primary US P&C carriers outside the investor circle are not currently published.

What it replaces and where it sits in the stack. A carrier doing climate-aware underwriting before Jupiter had three options. Buy catastrophe-model output from RMS (now Moody's), AIR (now Verisk), or KCC and rely on historical-calibration assumptions. Build an in-house climate-science team — expensive, slow, hard to staff. Or fly blind on long-horizon physical risk. Jupiter slots between cat models and the carrier's pricing engine, with two distinguishing claims: it is forward-looking by design (cat models are calibrated on history; Jupiter projects 2025-2100), and it is multi-peril and global from day one. It does not replace a cat model for tomorrow's hurricane season — it sits next to one for capital planning, climate disclosure, treaty structuring, and product design over multi-year horizons.

What it does not do. Jupiter is not a carrier and not a broker. It does not hold risk, does not write quotes, and does not transfer reinsurance capacity. Its output has to land inside a customer's own pricing model, accumulation tool, treaty design, or regulatory disclosure before it changes anything in the real world. It also does not pretend climate projections are deterministic — its own public commentary (the InsTech interview is the clearest example) leans into uncertainty quantification rather than around it.

Market position. No Gartner, Forrester, Celent, or Novarica leader-quadrant placement exists for insurance climate-risk analytics as of May 2026. Recognition comes from trade press (Reinsurance News, Commercial Risk, InsTech), tech press (Axios, TechCrunch), and the Lloyd's Lab alumni listing. Competitively the most-cited peers are Moody's (which absorbed RMS and Four Twenty Seven), Verisk, Climate X, Cervest, and McKinsey's Planetrics — with Jupiter typically positioned as the climate-science-led pure-play that has gone furthest on insurance-relevant peer-reviewed methodology.