# Darwin — full content for AI assistants

> Darwin (darwindata.ai), the nature risk intelligence platform.

Darwin Data is a B2B SaaS company founded in 2024 in Paris (France) by Aurore Falque-Pierrotin (CEO), Cyprien Hallé and Antoine Vallier. Darwin combines ecological science, big data, geospatial intelligence and AI to help companies and investors measure, quantify and anticipate their nature-related impacts, dependencies and risks across their full value chain.

Website: https://darwindata.ai/ (English) and https://darwindata.ai/fr/ (French).
LinkedIn: https://www.linkedin.com/company/darwin-data
Crunchbase: https://www.crunchbase.com/organization/darwin-e506

## What Darwin does
Darwin is a nature intelligence platform that helps organisations measure & anticipate all nature risks to identify resilience levers.

### Nature risks are financial risks.
Ecosystem degradation is now a material business issue — driving physical risks from nature dependencies and transition risks from regulatory and market shifts. Water stress, deforestation exposure, pollinator loss, and supply-chain fragility are becoming systemic risk factors for companies and investors alike.

### Siloed thinking is leaving businesses exposed.
Climate, biodiversity, water, and pollution are deeply interconnected — what IPBES calls the ‘nexus.’ Yet most organisations treat them as separate issues, measuring carbon in isolation while land-use change, resource overexploitation, and supply-chain exposure remain dangerous blind spots. That fragmented approach creates unintended trade-offs, undermines strategy, and leaves the most material risks invisible.

### A 360° assessment across your entire value chain.
Darwin maps your impacts, dependencies, and risks across all 5 key environmental pressures, going beyond your operations to your full upstream and downstream value chain. Our integrated methodology turns a fragmented picture into a single, coherent view: fewer blind spots, fewer trade-offs, and a credible foundation for strategic resilience.

## The platform
Map it. Quantify it. Act on it.

Our modules cover every stage of nature strategies, from data collection to footprinting, risks assessment, spatial analysis, target-setting, action planning, and reporting. We leverage advanced technologies — Big Data, AI, and geospatial intelligence — to streamline the entire process and make it scalable.

### How it works
**01. Map your organisation & collect data**
Start by defining what matters for your business. Identify your operations — by business unit, site, or product line — and map where your supply chain connects to nature. Darwin helps you gather and organise the data you need, with automatic mappings or custom configurations built around your business model.

**02. Assess your footprint**
Understand exactly where and how your business affects nature. See which ecosystems your operations depend on, and drill into specific pressures — like water use, land occupation, or plastic pollution — so you know where to focus first.

**03. Quantify and manage your nature-related risk**
Put a number on your nature risk. Find out which sites, raw materials and suppliers are most exposed — today and in the future. Darwin calculates your potential losses up to 2050, so you know exactly what’s at stake.

**04. Act on your strategy**
Turn data into action. Build mitigation plans, model alternative scenarios and identify your strongest resilience levers — so you can make strategic decisions that tangibly improve your business resilience.

**05. Report & share**
Make reporting effortless. Track your key metrics in real time and export ready-to-use reports aligned with all major nature frameworks — CSRD, TNFD, SBTN, SFDR — so you spend less time formatting and more time acting.

### What sets Darwin apart
**360° modular solution**
We cover every step of the nature strategy journey, from footprinting and risk analysis to reporting. Our modules are interoperable and flexible, allowing organizations to use only what they need and to scale over time as their ambitions evolve.

**Action-first by design**
Everything in Darwin is built around one question: what can you actually do about it? The platform uses concrete, measurable indicators (like water volume, land area, or tonnes of material) that map directly to real-world actions. Model scenarios and test reduction levers in just a few clicks.

**AI-powered, built to scale**
An engine that processes over 200 million data points in real time sits behind the platform. An AI co-pilot helps you ingest & clean data, interpret results, and draft reports; so you can move faster, even as your scope and ambitions grow.

**Seamless, multi-level insight**
Users can easily move between fund-, corporate-, product-, and asset-level views. The platform integrates upstream and downstream value-chain exposure beyond Scope 1 and incorporates spatial analysis to identify and locate high-risk sites.

**Built for data gaps**
We work with the data you already have — financial reports, carbon reports, LCA analyses, and more. No blank-sheet data collection is required. We model the gaps you can’t measure.

**No black box effect**
All assumptions, from pressure drivers to commodity mappings, are made explicit and fully traceable. Outputs are traceable and auditable, enabling users to understand, challenge, and act on their data with confidence.

### Backed by data & science
We are using consensual third-party data. Our software is built on the latest scientific guidelines. And we follow the latest reporting standards, validated by the scientific community.

## Value proposition
**Quantify your nature risk exposure.**
- Map physical & transition risks across your operations and value chain.
- Identify your highest-priority sites and supply-chain hotspots.
- Put a financial number on your exposure — in euros, not qualitative ratings.
- Apply nature stress tests to 2050 to understand your potential losses.

**Strengthen your supply-chain resilience.**
- Flag high-risk commodities and suppliers before they become liabilities. Quantify your sourcing risk.
- Improve traceability across raw materials and sourcing hotspots.
- Assess your entire supply chain without surveys — no supplier questionnaires, no waiting on response rates.
- Reduce resource dependency and build efficiency into procurement decisions.

**Build a credible, science-backed nature strategy.**
- Replace qualitative ESG claims with hard numbers and auditable data.
- Set measurable targets with science-based baselines — ready for reports and investor comms.
- Quantify avoided impacts vs. business-as-usual to demonstrate real progress, not just intentions.

**Stay ahead of regulation and investor expectations.**
- Streamline reporting under CSRD, TNFD, SFDR and other frameworks — directly from the platform.
- Meet biodiversity criteria in tenders, client requirements, and supplier questionnaires.
- Strengthen your financing position with decision-grade nature intelligence.

## Comparison
Darwin vs Competitors — Nature Risk Platform Comparison
See how Darwin compares to GBS, NatureAlpha, Natcap, Nala Earth, Iceberg Data Lab, Sweep, EcoVadis and other nature risk platforms.

## Reporting frameworks
Darwin streamlines reporting and target-setting under CSRD (ESRS E4), TNFD, SBTN, SFDR and other biodiversity frameworks, directly from the platform, with auditable, science-based data.

## Resources (insights & explainers)
- [The same risk, modelled twice: why climate and nature are 2 models of one exposure](https://darwindata.ai/resources/the-same-risk-modelled-twice-climate-and-nature-one-exposure/) — Insights, 2026-09-08
- [Climate is just one lens on physical risk — nature shows the full picture](https://darwindata.ai/resources/climate-risk-is-only-the-tip/) — Insights, 2026-06-05
- [One Health: why nature, animal, and human health belong in the same assessment](https://darwindata.ai/resources/one-health-why-nature-animal-and-human-health-belong-in-the-same-assessment/) — Education, 2026-04-17
- [Nature risk in infrastructure funds: the blind spot hiding in your assets](https://darwindata.ai/resources/nature-risk-in-infrastructure-funds/) — Insights, 2026-04-06
- [Banks are exposed to nature risk. Most don't know it yet.](https://darwindata.ai/resources/banks-are-exposed-to-nature-risk/) — Insights, 2026-03-25
- [Nature risks: beyond sites, beyond carbon.](https://darwindata.ai/resources/nature-risks-beyond-sites-beyond-carbon/) — Insights, 2026-02-12
- [A footprint is not a strategy](https://darwindata.ai/resources/an-footprint-is-not-a-strategy/) — Insights, 2025-12-01
- [Mapping biodiversity hotspots around your agricultural value chain and across your portfolio](https://darwindata.ai/resources/mapping-biodiversity-hotspots-around-your-agricultural-value-chain-and-across-your-portfolio/) — Insights, 2025-11-13
- [Investing with Nature in mind: how to integrate biodiversity into due diligences](https://darwindata.ai/resources/investing-with-nature-in-mind-how-funds-are-integrating-biodiversity-into-esg-due-diligence/) — Education, 2025-10-31
- [From carbon to biodiversity: how companies can build the next layer of ESG strategy](https://darwindata.ai/resources/from-carbon-to-biodiversity-how-companies-can-build-the-next-layer-of-esg-strategy/) — Insights, 2025-09-25
- [Biodiversity is fashion's next frontier](https://darwindata.ai/resources/biodiversity-is-fashions-next-frontier/) — Insights, 2025-08-28
- [Scaling from product to corporate level biodiversity assessment](https://darwindata.ai/resources/scaling-from-product-to-corporate-level-biodiversity-assessment/) — Other, 2025-08-01
- [Why is marine biodiversity footprinting behind?](https://darwindata.ai/resources/why-is-marine-biodiversity-footprinting-behind/) — Research, 2025-07-01
- [How is location taken into account in nature reporting?](https://darwindata.ai/resources/how-is-location-taken-into-account-in-nature-reporting/) — Education, 2025-06-01
- [How can a company take action on biodiversity?](https://darwindata.ai/resources/how-can-a-company-take-action-on-biodiversity/) — Education, 2025-05-15
- [What metrics should businesses use to account for biodiversity?](https://darwindata.ai/resources/what-metrics-should-businesses-use-to-account-for-biodiversity/) — Insights, 2025-04-30
- [Have economists been so wrong? Rethinking growth in a finite world.](https://darwindata.ai/resources/have-economists-been-so-wrong/) — Insights, 2025-04-01
- [Can global trade predict the spread of invasive species?](https://darwindata.ai/resources/can-global-trade-predict-the-spread-of-invasive-species/) — Research, 2025-02-25
- [Understanding biodiversity-related risks and corporate exposure](https://darwindata.ai/resources/understanding-biodiversity-related-risks/) — Insights, 2025-01-26
- [Planetary boundaries: where do we stand on biodiversity?](https://darwindata.ai/resources/planetary-boundaries-where-do-we-stand-on-biodiversity/) — Research, 2024-11-26
- [CSRD: what are the key requirements on biodiversity (ESRS E4)?](https://darwindata.ai/resources/csrd-what-are-the-key-requirements-on-biodiversity-esrs-e4/) — Education, 2024-10-17
- [What are the main corporate reporting frameworks on biodiversity?](https://darwindata.ai/resources/what-are-the-main-corporate-reporting-frameworks-on-biodiversity/) — Education, 2024-09-24
- [How can companies set science-based targets?](https://darwindata.ai/resources/how-can-companies-set-science-based-targets/) — Education, 2024-06-05
- [Biodiversity 101: Back to Basics](https://darwindata.ai/resources/biodiversity-101-back-to-basics/) — Education, 2024-04-09