Brownfield-ready
Industrial Edge AI starts with existing assets: PLCs, OPC UA, MQTT, databases, exports, meters and machine logs.
Industrial Edge AI
The plant stays intelligent, even when the cloud is gone.
NeLeSo moves AI, data integration and operating logic directly to industrial sites. Machines, sensors, meters, controllers and energy systems are understood locally and turned into actionable decisions.
PLC
OPC UA · MQTT
OPC UA · MQTT
Sensors
Vibration · temperature
Vibration · temperature
Industrial Edge AI Gateway · AI · operating logic
Energy
Meters · PV · peaks
Meters · PV · peaks
Cloud
Reporting · training · fleet
Reporting · training · fleet
Local decisions
Critical logic runs on site. The cloud remains important for training, monitoring and reporting, but operations are not blocked by it.
From signal to action
The goal is not another dashboard. The goal is causes, priorities and next steps for maintenance and operations.
Modules
Six entry points for productive Industrial AI.
Each module can start as a small proof of value and later grow into a stable edge operation.
SensorTrendMaintenance
Predictive Maintenance
Detect recurring machine patterns before they become unplanned downtime.
ExploreAlarmContextCause
Plant Copilot
Turn alarms, logs and operator events into a clear incident record.
ExploreLoadPlanPeak
Energy Optimization
Balance peak loads, production priorities, PV, batteries and grid limits locally.
ExplorePLCEdgeAPI
Brownfield Data Gateway
Normalize, buffer and expose existing OT data sources for AI workflows.
NormalDriftAlert
OT Anomaly Detection
Detect unusual commands, process patterns and configuration changes locally.
ModelDriftUpdate
Model Operations
Monitor, version and release models with clear operational controls.
Capture Condense Explain Decide Sync
Pilot-ready
A solid proof of value in 4 to 6 weeks.
We select one asset, one data stream and one measurable operating problem. The result is an edge use case with a clear data basis, architecture decision and implementation path.
- OT/IT data check and integration path
- Initial local inference or rule logic on the edge
- Assessment of value, effort, risk and scaling