Alba combines multi-sensor telemetry, statistical analysis, and machine learning to monitor industrial assets in real time. Detect anomalies early, reduce unplanned downtime, and optimize maintenance schedules across your entire fleet.
Dashboard
Fleet Health
Assets
1,247
Alerts
8
Health
87.3%
Predictions
12
0%
Downtime Reduction
0
Failures Prevented
$0M
Costs Avoided
0%
ROI Achieved
Everything you need to monitor, predict, and prevent equipment failures at scale.
Upload SCADA CSV data and run statistical analysis on metal level control pins. Detect anomalies with configurable sigma thresholds, visualize pin command vs. feedback signals, and export detailed reports.
Correlate temperature, vibration, current, pressure, and RPM data from thousands of sensors across your facility.
Machine learning models predict failures before they occur. Get actionable lead time to plan maintenance.
Severity-based alerts with acknowledge and resolve workflows.
Equipment health scores from 0 to 100 with color-coded status across your entire fleet.
Track precision, recall, and ROC metrics for every predictive model. Validate accuracy continuously.
Sensor uptime heatmaps and missing data tracking ensure reliable, complete datasets.
Connect directly to your existing SCADA, DCS, and control systems. No disruption to operations.
Alba Platform
Unified data ingestion
Monitor every asset across your operations from a single, live dashboard.
Dashboard
Fleet Overview
Assets
1,247
Alerts
8
Health
87.3%
Uptime
99.2%
Health Trend (30 Days)
Pump P-201
healthy
Compressor C-105
warning
Motor M-442
critical
From sensor data to actionable maintenance plans in four steps.
Integrate temperature, vibration, current, pressure, and RPM sensors across your industrial assets. Upload SCADA data via CSV or connect live telemetry feeds.
Track fleet health in real time with unified dashboards. See health scores, operational status, and telemetry trends for every asset at a glance.
Statistical analysis and machine learning models identify deviations from normal behavior. Configurable sigma thresholds let you fine-tune sensitivity.
Receive severity-based alerts with predicted failure timelines. Prioritize repairs, schedule downtime strategically, and extend asset lifespan.
From rotating machinery to static heat exchangers, Alba covers your full asset fleet.
Physics-informed AI models analyze vibration signatures, temperature profiles, and electrical patterns to diagnose faults and estimate remaining useful life for every critical asset.
Physics-Informed Models
Combine domain knowledge with data-driven learning for higher accuracy on sparse industrial datasets.
Fault Diagnosis
Identify specific failure modes including bearing defects, imbalance, misalignment, and cavitation.
Remaining Useful Life
Estimate time-to-failure windows so you can plan maintenance with confidence and precision.
Active Prediction
Pump P-201A
Detected Fault
Bearing Inner Race Defect
Severity
0/10
Confidence
0%
Time to Failure
12-18 days
Contributing Factors
The flagship analytical tool for Alba. Upload SCADA CSV exports, configure sigma-based detection thresholds, and instantly identify anomalous pin behavior across your metal level control systems.
Analysis Output
Pin Command vs Feedback
Data Points
12,847
Anomalies
23
Detection Rate
96.6%
Join the industrial leaders using Alba to predict failures, reduce downtime, and optimize asset performance.
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