Geospatial AI, carbon verification, biodiversity assessment, and sustainability reporting. From satellite imagery to ESG-grade numbers.
Environmental monitoring and sustainability reporting share the same bottleneck: measurement that is manual, infrequent, and difficult to audit. We build AI systems that automate both. Foundation models pretrained on UK Earth observation data, fine-tuned for erosion mapping, tree crown segmentation, species classification, and biomass estimation. The same rigour applies to sustainability data pipelines, where the output must satisfy verifiers, regulators, and investors. As an AI consultancy, we treat every intermediate number as auditable, because credibility in carbon markets and ESG reporting depends on how a figure was derived, not just the figure itself.
Foundation models pretrained on millions of paired RGB and elevation tiles, fine-tuned for the specific measurement task. Peatland erosion classification, tree crown delineation, vegetation mapping, and land-use change detection from satellite, aerial, and drone imagery. Environmental monitoring solutions that turn raw Earth observation data into structured, verifiable outputs.
Digital measurement, reporting, and verification for nature-based carbon markets. Automated pipelines that produce the intermediate variables carbon codes require: tree density, species composition, canopy height, and above-ground biomass. Carbon footprint verification that replaces five-year manual survey cycles with continuous, auditable measurement. Built to the standards that the Woodland Carbon Code and Peatland Code demand.
Species classification, habitat condition scoring, and ecological change detection at scale. Models trained to identify individual tree species from aerial imagery, track habitat boundary shifts over time, and quantify biodiversity indicators that underpin natural capital valuations. Environmental monitoring and assessment infrastructure for organisations with obligations under the Environment Act and Biodiversity Net Gain.
AI pipelines that connect raw environmental and operational data to the structured outputs that sustainability frameworks demand. Automated extraction, validation, and formatting for CSRD, TCFD, and internal ESG dashboards. Sustainability reporting systems built to reduce the manual effort of compliance while keeping every derived figure traceable to its source data.
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