Solutions

Industrial software for monitoring.

Reshenie builds industrial AI software and hands-on automation kits for monitoring, predictive maintenance, PLC training, sensing, and vibration anomaly detection.

PdM Solutions

DataStone

Collects and analyzes industrial equipment data in real time to detect early signs of anomalies before they become failures.

  • Real-time industrial equipment data collection
  • Edge AI anomaly detection and predictive maintenance workflows
  • Operational dashboards for monitoring current condition and risk
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PdM Solutions

PdM Products

A grouped catalog for wireless vibration monitoring, gateways, sensors, bridges, pre-assembled boxes, cables, mounts, and installation accessories.

  • M4 edge gateway plus compatible sensors and network components
  • Wireless vibration, current-signature, IEPE, bridge, and pre-assembled box products
  • Cabling, mounting, battery, adhesive, and installation accessories
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FixMachine

FixMachine

Hands-on industrial training kits for PLC programming, conveyor sensing, servo motion, and vibration anomaly experiments.

  • FixMachine #1: three-servo motor platform for PLC programming and real motion-control exercises
  • FixMachine #2: inverter-driven conveyor belt with color sensing for factory-style control and sorting workflows
  • FixMachine #3: vibration generator for controlled imbalance, data collection, and machine-learning anomaly detection
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Digital Twin

Digital Twin

ProtoTwin digital twin plans for motion review, industrial simulation, live connectivity, and virtual commissioning.

  • Motion review with 3D/CAD import, Onshape connectivity, physically based materials, animation, and realistic rendering
  • Simulation workflows with TypeScript scripting, robot controllers, grippers, sensors, conveyor surfaces, and data analysis
  • Connectivity for controls testing, virtual commissioning, Soft PLC, co-simulation, Python API, machine learning, and industrial protocols
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Delivery

Designed for real facilities

Use DataStone and PdM Products components for edge maintenance workflows, then train operators and students on FixMachine kits that expose the sensors, actuators, and fault patterns behind automation.