IoT & AI Solutions
Connecting physical manufacturing assets to intelligent systems — turning raw machine data into decisions. Our IoT and AI capabilities extend the intelligence of our software to the hardware layer.
Capabilities
Real-time OEE, spindle utilisation, and downtime tracking across your machine shop. Plug-in sensors — no PLC changes required. Data visible within hours of installation.
Vibration, temperature, and load pattern analysis to predict failures before they halt production. Move from reactive breakdown maintenance to condition-based scheduling.
Automated visual inspection for surface defects, dimensional verification, and assembly completeness. Camera-based systems trained on your specific parts and defect catalogue.
Machine learning models trained on your production data to recommend cutting parameters, coolant settings, and feed rates — reducing scrap rates and improving surface finish consistency.
Real-time data feeds from your machines into BISE Manufacturing OS — extending the factory's digital twin with hardware-level signals. Attendance, machine state, and job card progress unified.
Bespoke sensor networks, edge computing, and MQTT/OPC-UA integration for non-standard manufacturing environments. From fixture monitoring to coolant level sensing.
Technology Stack
We use established industrial protocols and open standards — ensuring your IoT investment is not locked into proprietary ecosystems and integrates cleanly with existing infrastructure.
Protocols
MQTT, OPC-UA, Modbus, REST
Edge Computing
Raspberry Pi, Jetson Nano, Industrial PCs
Machine Learning
Python, TensorFlow, scikit-learn
Computer Vision
OpenCV, YOLO, custom models
Cloud & On-Premise
AWS, Azure, self-hosted options
Integration
BISE MOS, REST API, Webhooks
Start a Project
Tell us your machine types, your current data situation, and what you want to achieve. We'll propose a practical starting point.
Talk to Us