Sentient integrates cutting-edge Artificial Intelligence into engineering systems, delivering intelligent automation, perception, and decision-making capabilities across defence, aerospace, and industrial applications.
Our AI practice spans the full stack — from data pipelines and model training through to edge deployment and real-time inference. We work with Large Language Models (LLMs) for natural-language interfaces, report generation, and autonomous reasoning; Machine Learning pipelines built on PyTorch and TensorFlow for classification, regression, and anomaly detection; and Computer Vision systems for object detection, tracking, segmentation, and scene understanding using YOLO, OpenCV, and custom CNN architectures.
For deployments where cloud connectivity is constrained or latency is critical, we leverage NVIDIA Jetson edge computing platforms — running TensorRT-optimised models directly on-board UAVs, ground vehicles, and fixed installations. This enables real-time inference at the edge with minimal power consumption, suited to autonomous navigation, target recognition, and sensor fusion workflows.
Whether you need a proof-of-concept, a production-ready AI module, or strategic consultancy on adopting AI within your existing engineering programme, Sentient brings the expertise to deliver.