Censuring biodiversity with AI: the Nature Observation tool for ESG

For a company that wants to measure its impact on nature, the first obstacle is data. A traditional biodiversity survey requires field experts, a long time, and high costs, and often yields results that are difficult to compare over time.

The new reporting frameworks — from the CSRD with the ESRS E4 standard to the TNFD recommendations and SBTN targets — demand precisely this: verifiable data on species and habitats, collected methodically and repeatably. The gap between what needs to be declared and what is realistically detectable is the real bottleneck.

There is a need for a tool that lowers the barrier: one that allows a non-specialist team to collect observations in a structured way, and that transforms photos and recordings into reliable taxonomic data, without setting up a complete scientific campaign each time.

The value for those involved in sustainability lies in what happens after the analysis. From each batch, you can generate a professional HTML report with an integrated editor to modify text and layout, then print it in PDF or export it in DOCX. The complete list of species is downloadable in CSV for further processing: to feed an internal inventory or multi-year monitoring.

Each completed analysis also generates a shareable link: recipients can view the species list, confidence scores, IUCN status, and batch details at no cost, as only those conducting the analysis consume credits. It's a simple way to bring the data to colleagues, consultants, or stakeholders.

These outputs fit into a reporting pathway aligned with CSRD/ESRS E4, TNFD, and SBTN: present species, traceability of observations, and shareable documents to support declarations.