Beta

Working notes on the project

What this platform is

This platform brings together over 60 climate and nature risk software vendors, categorized across a consistent set of criteria and made navigable through a structured filter system. Whether you're a bank stress-testing a loan book, an investor assessing financial impacts on assets, or a corporate analyzing site-level risks for CSRD disclosures, it's built to help you orient quickly in a vendor landscape that has grown and diversified faster than it has become transparent and manageable.

The scope focuses on integrated climate and nature risk analytics solutions with broad analytical coverage and global reach, which is what most financial institutions and larger corporations need.

Each vendor is categorized across the parameters that matter most for selection and due diligence:

  • Target user types: banks, insurers, investors, corporates, and the public sector
  • Risk coverage: physical, transition, and nature-related risk
  • Analytical depth: from hazard exposure through to financial-impact quantification
  • Implementation context: time horizons, scenario families, geographic scope
  • and much more…
Aerial view of ocean currents along a coastline

Why this matters

Climate and nature risk software has evolved from a niche into a core component of financial risk infrastructure, driven by regulatory mandates such as IFRS S2, CSRD, the EU Taxonomy, TCFD, and TNFD, by supervisory requirements from bodies like the ECB, the Bank of England, and the Fed, and by a genuine need to translate rising physical and transition risks into financial terms. As reliance on these tools grows, so does the expectation from auditors and supervisors alike that corporations and institutions understand the data and models behind them rather than treating them as a black box.

UNEP FI's 2024 Climate Risk Landscape Report identified three compounding problems in this market:

  • Benchmarking is difficult, because provider methodologies differ substantially
  • Access and cost remain barriers, especially for smaller institutions and those in emerging markets
  • Sector-specific analysis is underserved, particularly for unlisted assets, agriculture, real estate, and supply chains

Underlying all of this is a persistent information asymmetry between buyers and vendors – still one of the most consistently cited barriers to effective climate and nature risk management. Vendors vary considerably in methodology, in the risk categories they address, and in the user types and use cases they actually serve. An easy way to find and screen them has been largely absent.

This platform addresses this gap. It doesn't rank the vendors or pick one for you – the categorization work is done upfront, so you can quickly find the relevant tools and narrow an opaque vendor universe down to a meaningful shortlist before engaging vendors directly.

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What is not (yet) covered

This platform is explicitly a first step, and the current database isn't a complete map of the landscape. Largely not yet included are in particular:

  • Highly specialized vendors on specific hazards, sectors, or geographies – a long tail of tools for particular use cases: climate and environmental risk in agricultural value chains and agri-finance, water-stress or flood tools for individual river basins, specialized solutions for individual hazards like floods and wildfires, etc.
  • Climate and nature data and indicator providers – suppliers of raw or processed climate, hazard, and environmental data and indicators (land-cover and biodiversity data, hydrological and drought indicators, etc.), distinct from the integrated analytics engines featured here.
  • Advisory services and modelers – strategy consultancies, the advisory arms of climate risk data houses, and climate-economic modelers that deliver assessments through bespoke engagements and data solutions rather than self-service software.

If the project gains traction, these categories will be added progressively, and individual entries enriched with deeper methodological detail.

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Methodology

Vendors were researched and categorized with the support of Claude Cowork and validated manually against vendor websites and other public sources. UNEP FI's Sustainability Risk Tool Dashboard was a valuable reference throughout. The platform was built using OpenAI Codex.

Filter values follow a consistent logic:

  • 1 — applies
  • 0 — does not apply
  • ? — unclear or not assessable from public sources

Silence is read conservatively: absence of a claim is not treated as confirmation unless a tool's scope makes the absence self-evident.

All filters work as AND operators. Selecting multiple criteria returns only vendors that meet all of them at once. This is ideal for building a precise shortlist, but stacking many filters can produce a small or empty result set. If that happens, relax one criterion at a time and treat the broader results as a starting point for due diligence rather than a definitive match.

Every entry was researched and cross-checked with care, but this platform is offered for orientation only and makes no claim to accuracy, currency, or completeness – vendor offerings change and errors are possible.