AI applied
across industry

Geospatial AI, carbon verification, biodiversity assessment, and sustainability reporting built for auditable environmental outcomes. Foundation models fine-tuned for erosion mapping, species classification, and biomass estimation, with data pipelines where every intermediate number is traceable to its source.

AI for the specific financial decisions that define operations. Fund and asset embeddings for portfolio analysis, LLMs extracting structured signals from earnings calls and regulatory filings, sentiment models tracking exposure to geopolitical developments, and document intelligence built for the auditability financial services demands.

Production-grade AI for pharmaceutical and biotech operations, from molecular design to manufacturing yield. Process optimisation for peptide production where small improvements have direct commercial consequence, generative AI for drug discovery, and systems built to navigate GxP compliance and regulatory auditability.

AI for mining, quarrying, and extractive operations at every stage from exploration to production. 3D geological models that reconstruct subsurface deposits from sparse surveys, computer vision monitoring crusher output and conveyor throughput in real time, and blast optimisation that improves downstream efficiency.

AI across the retail chain, from demand signals to delivered orders. SKU-level forecasting that feeds inventory planning, recommendation engines driven by real transaction data, LLM-powered customer service automation across channels and languages, and NLP that extracts product intelligence from customer feedback at scale.

AI for utility operations from grid to back office. Demand forecasting at substation level, computer vision extracting asset data from survey imagery and engineering drawings, and LLM-powered automation for invoice reconciliation, contract extraction, and regulatory reporting across large asset portfolios.