High-level nature scores
Useful for initial orientation, but often too broad for decisions about a specific place.
Upload a land boundary and VerdeSat returns biodiversity metrics, maps, vegetation trends and a reporting-ready Evidence Pack. Work that used to take weeks of bespoke GIS now takes one upload.
Land boundary in - decision-ready nature evidence out
Organisations increasingly need to understand how forests, farms, restoration projects, supplier locations and land investments interact with nature. But evidence for a specific location still depends heavily on fragmented datasets, specialist GIS work and custom reporting.
Most teams choose between scores that are too coarse and assessments that are too slow. VerdeSat provides the practical first layer between those two extremes.
Useful for initial orientation, but often too broad for decisions about a specific place.
More detailed, but difficult to repeat across many locations, customers or reporting cycles.
Upload the boundary of a forest, farm, restoration project or other area you need to assess.
VerdeSat processes satellite imagery, land-cover information and relevant contextual data through its analytics platform.
Review the AI summary and recommendations, maps, metric breakdowns, vegetation history, methods, limitations and data lineage.
Compare sites, identify potential concerns, monitor change, brief a consultant or decide where deeper investigation is justified.
VerdeSat translates complex geospatial data into outputs that non-GIS teams can review, compare and reuse.
A proprietary 0–100 screening score summarising selected indicators of habitat structure, landscape condition and vegetation dynamics.
Maps of vegetation condition. Land cover, landscape structure and relevant nature-related context are available on request.
Habitat-related metrics including intactness, land-cover diversity, fragmentation, vegetation vigour and trend signals.
Satellite-derived vegetation index time series and trend views, including indicators such as NDVI and MSAVI.
A downloadable report containing metrics, maps, trends, AI-based summary and interpretation, methods, limitations and data lineage.
Extended API integrations, new cutting-edge metrics based on spectral diversity, species abundance, and protected areas are coming soon.

Contextual layers such as protected areas, Key Biodiversity Areas and Mean Species Abundance are included where relevant to the site.
VerdeSat exists to make nature evidence cheap enough and fast enough to be used routinely — because decisions about land are made whether or not the evidence arrives in time.
Sites that would never justify a bespoke GIS project now get a consistent nature assessment, widening the share of land under observation.
Vegetation and land-cover change is tracked across reporting periods, so restoration effort and funding follow evidence rather than assumption.
Comparable indicators arrive before capital is committed, moving nature from a late-stage check to an input in the decision itself.
Automating first-pass screening frees ecologists and GIS specialists for interpretation, fieldwork and recommendations.
VerdeSat combines satellite-derived vegetation dynamics with land-cover structure and contextual geospatial information.
Every report carries its data sources, indicator definitions, method information and lineage, so results can be checked, defended and reused.
Sentinel-2 imagery and 10 m land-cover data, with contextual biodiversity, protected-area and pressure layers where they are relevant to the site.
VerdeSat delivers the fast first layer of assessment and hands a clear, documented baseline to field ecology and formal assessment where those are needed.
To show where attention, monitoring, budget or deeper investigation belongs — and to show it early enough to act on.
Land boundary in, usable Evidence Pack out.
Designed to extend across sites and geographies without rebuilding the workflow for every project.
Methods, limitations and lineage are part of the product rather than an afterthought.
VerdeSat converts multiple geospatial indicators into a consistent and understandable assessment while retaining proprietary calibration and scoring logic.
Outputs are designed for reporting support, prioritisation, consultant briefing, monitoring and early-stage diligence.
VerdeSat was founded by Andrey Dara, a remote-sensing scientist and a co-founder of CarbonSpace.
During his PhD in remote sensing and land-cover change at Humboldt University of Berlin, Andrey worked on turning complex satellite observations into usable environmental evidence. At CarbonSpace, he later helped build satellite analytics for carbon fluxes in agriculture and forestry.
Customers repeatedly asked whether similar technology could also support biodiversity decisions. VerdeSat was created to turn that recurring demand into a focused, operational product.
“The problem is not a lack of environmental data. It is turning fragmented data and specialist workflows into evidence that decision-makers can actually use.”
Companies, investors and restoration projects increasingly need fast, comparable evidence for forests, farms and other land assets. VerdeSat already automates the first step: upload a boundary and receive a decision-ready Evidence Pack in minutes.
The product roadmap extends this working platform into recurring monitoring, portfolio screening and API integrations—creating a scalable software and data business.
VerdeSat is opening conversations with founder-friendly pre-seed investors, strategic partners and non-dilutive funding programmes supporting biodiversity, Earth observation and climate technology.
Request a pilot, explore a consultancy partnership, discuss a restoration-monitoring need or ask for the investor brief.