Federal equipment determinations do not stop with the names that appear on a covered list. Analysts have to understand subsidiaries, affiliates, ownership changes, production origin, component sourcing, and relationships that move across jurisdictions and change over time.
That work is hard to sustain through manual searches, spreadsheets, analyst notebooks, and ad-hoc web research. When a new directive or product category emerges, teams often have to start from scratch – identifying affected products, mapping corporate networks, tracing supply chains, and documenting the evidence behind each finding.
Ingests and normalizes data from 10+ public and commercially available sources, including equipment authorizations, corporate registries, sanctions databases, import records, patent filings, product teardowns, government lists, and open-source intelligence. Through secure Olympus-based integration patterns, Ariadne can also incorporate authorized non-public agency data without changing the core platform.
Ariadne is built for the analytical work behind federal equipment risk determinations where a product may be affected by the Secure and Trusted Communications Networks Act, Covered List designations, National Security Determinations, Conditional Approvals, NDAA restrictions, or approved procurement lists.
Ariadne helps analysts answer the core questions: Is this applicant connected to a covered entity? Where was this product produced? Which suppliers or affiliates matter? What evidence supports the finding? What changed since the last review?
Ariadne has been demonstrated across router and UAS workflows using one knowledge graph, one evidence pipeline, and one risk model. The same workbench supports NSD routers, NDAA drones, Blue UAS review, concern-country analysis, and future equipment categories.
Built on cloud-native infrastructure with Kubernetes, Kafka-based event processing, autoscaling investigation workers, graph storage, and a provenance store, Ariadne is designed to move from demonstration to operational use.
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