Secure Edge AI for Deployed Units

Process sensor feeds, translate foreign language communications, and analyze full-motion video directly on ruggedized hardware with sub-second latency, eliminating the need for vulnerable satellite backhaul and accelerating the OODA loop.

Maintain full AI functionality during communication blackouts, jamming, or network degradation. Our models are optimized for intermittent connectivity, caching critical intelligence and syncing securely when bandwidth is available.

Deploy with confidence using hardware-rooted trusted execution environments (TEEs), encrypted model weights, and secure boot chains. Our systems are designed to resist physical capture, reverse engineering, and adversarial data poisoning attacks.

Cut bandwidth consumption by over 90% and extend hardware lifecycle with ultra-efficient small language models (SLMs) and pruned computer vision networks. Deploy on low-SWaP (Size, Weight, and Power) commercial or military-grade hardware.

Provide commanders and tactical units with AI-synthesized situational awareness, threat prioritization, and recommended courses of action derived from fused multi-source data, reducing cognitive load and enabling faster, more informed decisions.

Build on a modular architecture that supports secure, over-the-air updates, federated learning for collaborative model improvement across units, and easy integration with existing C2 systems like the Joint All-Domain Command and Control (JADC2) framework.

Process and correlate live feeds from drones, ground sensors, and signals intelligence (SIGINT) using multimodal AI. Enables unified situational awareness and automatic threat detection at the tactical edge, reducing analyst cognitive load by over 70%.

Key Delivery: Integrated AI pipelines for video, audio, RF, and telemetry data.

Deploy small language models (SLMs) like Phi-3.5 on ruggedized edge hardware for real-time translation, document summarization, and intelligence report generation. Operates fully offline with no data exfiltration risk, ensuring functionality in DIL (Disconnected, Intermittent, Low-bandwidth) environments.

Key Delivery: Optimized, containerized SLMs for NVIDIA Jetson Orin and similar platforms.

High-accuracy computer vision models for identifying and classifying objects of interest in cluttered environments from full-motion video (FMV) and satellite imagery. Models are hardened against adversarial attacks and environmental degradation to maintain reliability.

Key Delivery: Custom-trained ATR models with >95% precision in operational scenarios.

Secure MLOps platform for deploying, monitoring, and updating AI models across distributed edge devices. Features encrypted model delivery, health monitoring, and automatic rollback to ensure continuous operation even with intermittent connectivity.

Key Delivery: Air-gapped compatible orchestration platform with full audit trail.

Machine learning models that analyze vehicle and equipment sensor telemetry to forecast parts failures and optimize supply chains in-theater. Reduces unplanned downtime and extends mission readiness by predicting maintenance needs weeks in advance.

Key Delivery: Predictive analytics dashboard integrated with existing logistics systems.

Ultra-optimized AI models designed for Size, Weight, and Power (SWaP)-constrained platforms like soldier-worn systems and small UAVs. Enables real-time biometric monitoring, navigation in GPS-denied areas, and onboard image analysis without draining batteries.

Key Delivery: Quantized and pruned neural networks for microcontrollers and low-power GPUs.