On December 11, Infleqtion announced a $2 million Direct-to-Phase II Small Business Innovation Research (SBIR) contract from the U.S. Army to develop Secured AI for Positioning at the Edge, Navigation, and Timing (SAPIENT). The 18-month effort will apply Infleqtion’s Contextual Machine Learning (CML) to strengthen the Army’s ability to deliver resilient navigation and timing data in adversarial environments. Infleqtion recently announced plans to go public through a merger with Churchill Capital Corp.
The award follows Infleqtion’s first-place finish in the xTechScalable AI Challenge, where SAPIENT was selected as one of only four winners from an initial pool of 133 submissions. The contract represents a significant milestone in bringing Infleqtion’s CML technology from concept to application. First introduced at NVIDIA GTC in March, CML allows AI models to learn from diverse data sources and extended timeframes, a key advance toward more adaptive, context-aware intelligence.
“SAPIENT builds on the early promise of CML by applying it to some of the military’s most urgent edge-AI challenges,” said Pranav Gokhale, chief technology officer at Infleqtion. “We’re honored to continue working with the Army to develop scalable solutions that enhance operational resilience in the presence of adversarial threats.”
Modern battlefield environments require the fusion of multiple streams of data, from GPS/GNSS and inertial navigation systems to computer vision, processed at the edge and often in the absence of stable connectivity. SAPIENT addresses this challenge by combining quantum-inspired multimodal learning techniques and Boltzmann Machine-based models to integrate data from diverse sources, even when some signals are degraded or intentionally spoofed.
The resulting AI is designed to operate on compact, power-efficient edge platforms, allowing for deployment in constrained or disconnected environments, the company said.
Source: Infleqtion
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