Edge AI for Autonomous Systems

Edge AI for Autonomous Systems

Embed intelligence at the edge—where it matters most. Our Edge AI for Autonomous Systems services enable real-time perception, decision-making, and control in constrained, mission-critical environments. We design and deploy AI solutions optimized for low-latency, bandwidth-limited, and power-constrained platforms, delivering autonomy you can trust.

From unmanned systems and smart sensors to battlefield robotics and industrial automation, we engineer edge AI capabilities that operate reliably, securely, and independently—without constant cloud connectivity.

Our Services Include:

• Custom AI Model Development for Edge Devices
  Build lightweight, high-performance models for vision, sensor fusion, object tracking, path planning, and anomaly detection optimized for platforms like NVIDIA Jetson, ARM Cortex, and Intel Movidius.

• On-Device Inference Optimization
  Quantize, prune, and compress models for low-power deployment using TensorRT, OpenVINO, ONNX Runtime, and Edge TPU accelerators.

• Real-Time Decision & Control Systems
  Integrate AI models with autonomous control loops for navigation, obstacle avoidance, dynamic planning, and swarm coordination in time-sensitive applications.

• Embedded ML Pipelines & Toolchains
  Develop edge ML pipelines and firmware workflows that support autonomous behaviors on resource-constrained platforms, including ROS2, PX4, and custom RTOS environments.

• Edge Deployment & Integration Support
  Containerize and deploy models using lightweight runtimes (e.g., Docker, Podman, microVMs) with secure boot, firmware hardening, and local logging for auditability.

• Mission-Critical Testing & Simulation
  Validate performance in digital twins and hardware-in-the-loop (HIL) simulations under real-world constraints, including degraded GPS, contested networks, and adversarial inputs.

Use Cases:

• Target recognition and tracking for ISR drones

• Autonomous navigation for ground, maritime, or aerial platforms

• Onboard decision engines for robotic logistics and battlefield support

• AI-based sensor fusion for situational awareness in denied environments

• Distributed edge AI in autonomous swarms or MUM-T (man-unmanned teaming)

Whether your platform operates at sea, in the air, or across the battlefield, we deliver embedded AI systems that are fast, secure, and tactically effective—ready for the edge, not just the lab.