Digital engineering is where our sensor data becomes a decision. We build the artificial intelligence, machine learning, and big-data analytics software that reads, interprets, and acts on signals from mechanical and electromagnetic sensors.
We treat software as part of the sensor: the model that interprets a signal is designed alongside the hardware that produces it.
Models trained on mechanical, acoustic, and RF sensor data to classify events, detect anomalies, and predict degradation ahead of failure.
Pipelines that ingest, clean, and analyze high-rate sensor streams at scale, turning raw time-series data into structured, queryable insight.
Firmware and edge software that runs signal processing and inference close to the sensor, reducing latency and bandwidth needs.
End-to-end software architecture connecting sensor hardware, data pipelines, and analytics into a single, deployable system.
From data pipeline design through to deployed ML and analytics software.