Synthetic Data Generation for Property and Passenger Screening

The Department of Homeland Security’s Science & Technology Directorate is awarding a sole‑source, 12‑month contract (with one optional 12‑month extension) to Cignal LLC to mature its synthetic‑data generation engine for aviation security screening. The effort will expand Cignal’s prototype, produce labeled multi‑spectral imagery, and validate the tools with DHS S&T and TSA stakeholders for both non‑sensitive public algorithm development and sensitive government‑only testing. Work will be performed at Cignal’s facilities in Pennsylvania, with collaboration and data‑validation activities involving TSA and other DHS end‑users. • Scope: Enhance Cignal Engine, generate synthetic data sets, and demonstrate suitability for AI‑based machine‑vision models. • Duration: 12‑month base period, with a possible 12‑month option. • Delivery: Software tools, synthetic image libraries, validation reports, and ongoing support to DHS/TSA. • Funding: Not disclosed; typical R&D contracts of this scope range from several hundred thousand to a few million dollars. • Contact: Jennifer K. Koons (email provided) for any questions by Sep 7 2026.