Infleqtion has been awarded a $2 million Direct-to-Phase II SBIR contract by the U.S. Army to develop Secured AI for Positioning at the Edge, Navigation, and Timing (SAPIENT). The 18-month project focuses on applying Contextual Machine Learning (CML) to enhance the resilience of multi-sensor navigation data in adversarial and GPS-denied environments. This award follows Infleqtion’s recent announcement of a planned public listing via a merger with Churchill Capital Corp X (NASDAQ: CCCX).
The SAPIENT initiative utilizes quantum-inspired multimodal learning and Boltzmann Machine-based models to fuse disparate data streams, including inertial navigation, GNSS, and computer vision. By leveraging NVIDIA’s CUDA-Q platform, Infleqtion’s CML architecture allows AI models to process extended timeframes of diverse data, enabling the system to identify and mitigate signal spoofing or degradation. The resulting models are optimized for deployment on power-efficient edge computing platforms, ensuring operational continuity for tactical units without stable cloud connectivity.
The contract stems from Infleqtion’s first-place finish in the xTechScalable AI Challenge, where the SAPIENT prototype was validated by military and technical experts. This development phase will run through October 2026, aiming to scale CML from a verified concept to a deployable military application. The program complements Infleqtion’s existing portfolio of quantum-based defense solutions, such as the QuIRC RF signal processing system, further establishing the intersection of neutral-atom quantum technology and high-performance classical AI.
Read the full announcement here.
December 23, 2025
