Applications: Intelligence in ActioN
We build focused ML solutions for specific tasks across various industries.
Below are examples of how we embed intelligence into existing hardware.
Industrial & Logistics
Smart Asset Profiling: A battery-powered tracker on a shipping container uses its GPS to incrementally build a daily behavioral summary. Instead of transmitting thousands of coordinates, it sends a compact report: total_distance_traveled, time_spent_stationary, and time_inside_geofence_X, extending battery life from days to months.
Water Quality Analysis: A probe in a reservoir performs slow electrochemical scans. At the end of the day, a 1D-CNN model processes the 24 collected waveforms to identify the signatures of specific heavy metal contaminants, providing a reliable daily water quality summary.
Consumer & Wearable Tech
Sleep Stage Analysis: A wearable ring monitors heart rate variability and motion. Throughout the night, a small classifier incrementally builds a complete sleep summary by classifying 5-minute windows of data. The final report ({"Deep": 1.5h, "REM": 2h, "Cycles": 4}) is generated with minimal power and memory.
Standardized Alarm Detection: A smart speaker's existing low-power MCU runs a secondary audio classification model trained to recognize the universal T3 (smoke) and T4 (CO) alarm patterns, turning the device into a critical safety monitor via a firmware update.
Agriculture & Environmental
Stateful Crop Stress Prediction: A soil sensor in a remote field uses a Recurrent Neural Network (RNN) to slowly form a daily prediction. It feeds hourly sensor readings into the RNN, updating the model's internal state to encode the day's history. The final output is a single, actionable classification (Low, Medium, High stress).
Acoustic Biodiversity Index: A solar-powered sensor in a rainforest records one minute of audio every half hour. During the day, it runs a CNN audio classifier on the collected snippets to identify and count species calls, transmitting a highly compressed daily biodiversity report for ecological research.