blacksnow

What it does

BlackSnow ingests fragmented, legally accessible data exhaust from procurement, regulatory, labor, and logistics sources. It applies Bayesian evidence accumulation and ontology alignment to surface pre-event risk vectors before formal news or disclosures occur. Outputs are structured risk primitives consumable by financial, insurance, logistics, and policy systems.

Why it's useful

Surfaces risk signals weeks before formal events by correlating individually weak public data points that news monitoring and sentiment analysis miss.