We conduct research at the intersection of artificial intelligence and investigative methodology. Our work explores how distributed AI systems can reveal patterns and connections that remain invisible to traditional analysis methods.
Our research focuses on three primary domains:
Corporate Network Analysis
We study how AI agents can map complex ownership structures and identify concealed relationships within corporate ecosystems. Our methods have revealed hidden connections in 3.2 hours where manual investigation failed after six weeks.
Security Intelligence
We investigate temporal compression in threat detection—how parallel processing can identify attack patterns before they solidify into recognized campaigns. Our research has reduced detection windows from weeks to hours.
Digital Evidence Discovery
We explore computer vision and multi-modal analysis for verification challenges where traditional digital forensics prove insufficient. Our agents have successfully geolocated evidence from minimal visual cues in under 90 minutes.