We help you build signal processing pipelines that include signal conditioning, filtering, noise removal, and signal decomposition in time and frequency domains.
We help you extract features from your time series signals or images, effectively reducing the amount of data to be processed by your machine learning models.
We help you integrate your signal and image processing pipeline with your machine learning models, offering our customers an end-to-end solution
Our Expertise
Weeks of early warning before failure
Turn vibration, acoustic and current signals from your machines into early-warning indicators. We detect bearing wear, misalignment and anomalies long before they cause downtime, so you plan maintenance instead of reacting to it.
Clinical-grade inputs for diagnostic AI
From ECG and EEG to surgical and wearable sensor data, we clean, segment and extract clinically relevant features that power diagnostic and monitoring models built for regulated healthcare environments.
Decisions in milliseconds, at the source
Process signals where they are generated. We optimize filtering and feature extraction for embedded and edge devices, cutting bandwidth and cloud costs while keeping latency low enough for real-time decisions.
Fewer false alarms, richer model inputs
Combine audio, imaging, radar and IoT streams into a single, reliable picture. Our multi-sensor pipelines reduce noise and false positives and give your machine learning models cleaner, more complete data.
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