LAYER 01
Field signal capture
Acoustics, ultrasound, vibration, and operational logs captured to hold up on site.
Industrial AI
Industrial AI for diagnostics and field operations
Industrial AI systems for equipment diagnostics and field operations. Acoustics, vibration, ultrasonics, and operational data.
Acoustic & vibration analysisUltrasonic diagnosticsField operation softwareEdge and on-prem deployment
System scope
We connect sensing, inference, operator software, and deployment governance into one system that can be applied in real operations.
Project flow
The same team stays involved from problem framing through rollout and operational handoff.
LAYER 02
Edge inference
Models built to run in real time on equipment and local gateways, not just in the lab.
Approach
The model is not the deliverable
Signal capture, inference, and operator interface are designed as one system.
01
Signal definition
Acoustic, vibration, ultrasonic, and operational data selected for on-site relevance. Capture path built around those signals.
- Signal criteria tuned for real anomalies
- Data capture that holds up in the field
02
Model and software together
Inference, gateways, dashboards, and alerts ship as one product. Operators use it from day one.
- Edge and on-prem inference
- PLC, sensor, dashboard, and alert integration
03
Post-launch rules
Permissions, audit, reporting, and update policies defined up front. The system runs after the pilot.
- Operator-facing UI and reporting
- Permissions, audit, and release policies
Featured solutions
Systems built for the field
Every project has different signals and constraints. Every deliverable has to work inside the customer's daily operation.
Predictive maintenanceHigh-frequency audio and vibration signatures
Sound-based motor condition monitoring
Acoustic and vibration analysis for motors and gearboxes. Catches anomalies before they cause downtime.
Deployment
Field equipment, control dashboard, and alerting
- Earlier detection of anomalies
- Better-timed maintenance
- Fewer unplanned stoppages
Safety systemWire tension, resonance, and anomaly acoustics
Crane wire monitoring
Tension, vibration, and acoustic inputs from hoisting systems. Flags fatigue and break risk earlier.
Deployment
Safety monitoring layer for cranes and hoists
- Pre-incident warning detection
- Real-time inspection data
- Clear signals for field decisions
Case studies
Programs validated against real operating environments
We go beyond feature descriptions and show how the work was scoped and connected to real operating routines.
Environment & Forestry
Korea Forest Research Institute
Ultrasonic non-destructive diagnostics for earlier pine wilt disease detection
Approach
We built ultrasonic NDT equipment and a field reading interface that tracks changes in ultrasonic propagation inside trunks. Data is captured and read on site, without an external network.
Ultrasonic NDT scan
Diagnostic method
On-site interpretation
Data processing
Project flow
One team from scoping to handover
Diagnose, build, and hand off. The same team carries the work through all three phases.
Diagnose
Site assessment first
Equipment layout, procedures, data quality, and security constraints. Scope and priority follow from what we find.
Build
Analysis and operator UI in parallel
Models, dashboards, alerts, and integration built together. Technical output has to fit real workflows.
Hand off
Life after the pilot, planned up front
Deployment, permissions, handover, and improvement loops. The system keeps running.