Teleidoscope received US Department of Defense funding and completed an 18‑month prototype for an AI air defence system, resulting in a USD 100M ceiling production contract and ongoing orders for its system.

Teleidoscope’s Relocalizable Adaptive Discriminative (RAD) Tracker is described as an innovative AI-based surveillance, identification, and tracking system used to monitor and defend controlled airspace around Washington, D.C. as part of the National Capital Region Integrated Air Defense System.

Teleidoscope offers a CPU‑optimized visual tracking framework capable of tracking moving and stationary objects without prior training data and supporting multiple operating systems, indicating an advanced computer vision product for edge AI and ISR use cases.

Teleidoscope positions itself as a full‑service company that licenses visual tracking software and provides integration and application development services, supporting customers in commercial augmented reality and defense-related tracking and autonomy domains.

Matt Rabinovitch has served as Founder and CEO of Teleidoscope since May 2017, bringing prior experience leading IoT and streaming analysis platforms at DAQRI and principal engineering roles in related fields.

Teleidoscope is described as a first‑time, non‑traditional DoD vendor, indicating recent entry into defense procurement channels and successful navigation of nontraditional defense acquisition pathways.

The company specializes in advanced tracking, targeting, and autonomy software integrated with EO/IR and radar sensors, aligning its capabilities with ISR and air defense applications such as moving target indication and object tracking.