For the first time, a company's operational footprint — every facility, its precise location, and its exposure to natural-world risk — can be resolved at the level of the individual asset, refreshed continuously, and analysed across an entire portfolio.
Water stress, biodiversity loss, flood, drought and regulatory exposure manifest at specific coordinates — not at the level of the corporate entity. The company- and sector-level proxies underpinning most existing nature and climate analytics systematically obscure where risk concentrates.
Asset-level location data has been the structural moat of a handful of incumbent vendors — built by large offshore teams manually interrogating filings, slow and inconsistent. Agentic AI dissolves that constraint: alphaX automates the full discovery-and-verification workflow, building asset maps at a scale and cadence manual operations cannot approach.
Resolving exposure to the individual asset is the difference between an estimate and a measurement — moving an analyst from a vague company-level flag to a precise, located finding they can act on, defend, and quantify against production.
"This company carries water risk."
"These 17 facilities — 9% of production — sit in a basin entering severe drought."
alphaX pairs a continuously refreshed base of asset locations with layered risk intelligence — each layer resolved to the asset and recombined on demand.
Biodiversity, water stress, ecosystem and land-use exposure at each asset.
Physical climate hazards — flood, drought, heat — resolved to location.
Country, regional and site-level political and stability exposure.
Incident, conduct and reputational exposure mapped to operations.
Where revenue is actually generated, by asset and geography.
Residual exposure after policies and controls are accounted for.
Vessel, port and marine-route exposure for maritime-linked operations.
Any layer, recombined on demand — screen a portfolio against any combination of risks in seconds.
Asset-level location data was once the preserve of large offshore teams reading filings by hand — slow, partial, refreshed annually at best. alphaX replaces that with a three-phase agentic pipeline, powered by our own large language models running on dedicated Nvidia DGX infrastructure.
Models build a structured profile of each company — its entities, subsidiaries, sectors and the kinds of assets it operates — to know what to look for.
Agents interrogate filings, disclosures, registries and public records to locate every facility — extracting its precise coordinates at machine scale.
Each candidate asset is cross-checked and confirmed against independent sources. Every correction trains the next run, so accuracy compounds over time.
Most analytics stop at the company. alphaX resolves exposure to each individual asset — so risk is measured where it originates: on the ground. An analyst sees not a single corporate score, but every facility, its location, and its precise exposure across the portfolio.
2 facilities flagged — sited in a basin entering severe drought. The rest, clear.
Every geospatial layer is also a time series. alphaX shows how the ecosystem in direct proximity to each asset is changing — and records every change for scrutiny.
The encroachment of drought, the retreat of a forest margin, rising flood frequency, the shift of a protected-area boundary — analysts see direction and rate of change at the point where value is created.
Every refresh is versioned. Each layer records what changed, when, and on what basis — so the state of any asset can be reconstructed at any past point. An evidence trail built for regulatory scrutiny, investment committees and defensible disclosure.
High-fidelity asset locations let you screen an entire portfolio by country, then drill straight to the holdings that matter — here, the most financially material assets with the highest dependence on water, sitting in basins under severe drought. alphaX surfaces the assets facing the greatest probability of real-world impact, in seconds. A real analytical capability, shown on a hypothetical portfolio.
Illustrative only — the portfolio holdings and asset locations shown are hypothetical and do not represent a real portfolio or actual facility coordinates. Company names and tickers are used to illustrate the screening workflow.
Any portfolio can be screened, in seconds, against any combination of risks at the exact locations where value is created. Access it the way your workflow demands.
Explore the asset graph on a live map. Search, filter and overlay any risk layer across a whole portfolio.
Pull asset locations and resolved risk layers directly into your own models and research stack.
Delivered to your warehouse on a continuous, versioned cadence — ready to join to your holdings.