Monitor
Capture vibration measurements with a smartphone sensor, stream them over a realtime connection, and inspect live waveforms and session status as data arrives.
- Phone-based capture
- Realtime transport
- Session tracking
Vibration screening platform
See what your equipment is telling you.
Capture vibration measurements with a smartphone, compare observed behavior against established baselines, and investigate deviations with screening predictions and AI-assisted interpretation — all in one monitoring dashboard.
Screening and indicative analysis — supports engineering judgment, does not replace it.
Live signal illustrationillustrative
Capture
Phone sensors
Review
Dashboard
Interpret
AI-assisted
What it does
Monitor. Analyze. Understand.
A complete screening workflow, from raw measurement to assisted interpretation — each stage visible in the dashboard.
Analyze
Compare observed behavior against established baselines. Time-windowed analysis surfaces intensity, frequency, quality, and deviation signals for every session.
- Baselines & deviations
- Time-windowed metrics
- Quality signals
Understand
Investigate what is happening with per-window screening predictions and AI-assisted interpretation that you trigger explicitly — explanation, not automation.
- Screening predictions
- Explicit AI analysis
- Stated limitations
How it works
From measurement to insight in five stages
Every stage persists its results, so what you see in the dashboard is exactly what the backend produced.
Measurement
A smartphone records vibration samples during a measurement run.
Session
Samples stream to the backend and are stored against one session.
Time windows
Each session is analyzed in overlapping windows with spectral metrics.
Prediction
Every window receives a screening prediction: normal, abnormal, or unavailable.
Insight
Review results in the dashboard and request AI-assisted interpretation.
Dashboard
The interface you will actually use
Session overview, signal visualizations, window analysis, screening predictions, and AI-assisted interpretation — rendered from persisted backend results, never recomputed in the browser.
/dashboard
Building health screening
Screening score with component breakdown, event ranking, and continuous monitoring context.
Window analysis
Per-window intensity, frequency, quality, and full data table.
ML screening
NormalAbnormalUnavailable
Per-window predictions with confidence and model version.
AI-assisted interpretation
Human-readable analysis on explicit request — measured data, ML context, and interpretation kept separate, limitations shown.
Open live Dashboard
Preview shows interface structure; values shown are illustrative, not measurements.
Intelligent analysis
From signals to explanations
When screening results raise questions, request a human-readable interpretation grounded in the session's persisted measurements and screening context.
You ask, it explains
Analysis runs only when you request it for a session — never automatically, never in the background.
Layers stay separate
Measured data, screening predictions, and AI-generated interpretation are presented as distinct layers.
Limits are shown
Every analysis carries its limitations and confidence statement alongside findings and recommendations.
AI-assisted interpretation supports investigation by qualified personnel. It is not autonomous monitoring, not a diagnosis, and not a substitute for engineering judgment.
Use cases
Built for practical investigation
Every use case below maps to functionality that exists in the product today.
Equipment condition monitoring
Record vibration sessions on rotating or reciprocating equipment and review intensity and frequency behavior over time.
Vibration trend analysis
Follow estimated frequency and intensity across sessions to spot gradual behavioral change worth a closer look.
Baseline deviation investigation
Compare new measurements against established baselines and inspect windows where deviation appears.
Maintenance investigation
After service work, capture a fresh session and check whether observed behavior moved back toward baseline.
Start monitoring your equipment.
Capture a measurement, review the analysis, and investigate what your equipment is telling you.