Water quality-risk intelligence
Intelligence for every drop of water.
HydroLens AI brings sensor readings, sampling results and infrastructure records into one workspace, so qualified teams can spot unusual readings, check the evidence, and decide what to follow up.
From raw reading to a closed, auditable decision.
Asset registry & ingestion
Plants, reservoirs, sampling points and sensors with validated CSV imports — units, timestamps, calibration and duplicates checked line by line.
Anomaly detection
Robust median/MAD baselines combined with an Isolation Forest. Every flag shows the observed value, baseline, deviation and model version.
Your review ranges
Thresholds you configure from your applicable standards — kept strictly separate from model-generated anomalies.
Spatial view
Stations plotted from the coordinates you register. Nothing is placed on the map that you didn't enter.
Investigations & reports
Assign reviewers, log sampling follow-up and decisions, and export an incident report with its full audit trail.
Data-quality monitoring
Missing-data gaps, sensor coverage and drift signals so a quiet sensor is never mistaken for a healthy one.
An anomaly is not a contamination event.
HydroLens AI separates three things: statistically unusual patterns, readings outside ranges you configured, and verified laboratory findings. Uncertainty is always shown, and demonstration data is always labelled as synthetic.
Watch the model score a stream in real time.
Isolation Forest + robust baselines, running in your browser.