Where Engineering Meets Intelligence
We bring together industrial engineering, IoT connectivity, robotics, and AI to create autonomous systems that operate with minimal human intervention — driving output, quality, and safety to levels that manual operations simply cannot match.
Industrial Autonomy Capabilities
We connect your physical operations to intelligent systems that monitor, analyse, and act in real time.
Industrial IoT Connectivity
Sensor deployment, PLC integration, and industrial protocol support (MQTT, OPC-UA, Modbus) that connects every asset on your shop floor to your data platform.
Digital Twin
Real-time virtual replicas of physical assets, processes, and facilities that enable simulation, prediction, and remote monitoring at scale.
Robotics & Automation
Collaborative robot (cobot) integration, automated material handling, and robotic assembly cell design for manufacturing and logistics environments.
Predictive Maintenance
Vibration, thermal, and acoustic sensor data analysed by ML models to predict equipment failure days or weeks before it happens — eliminating unplanned downtime.
OEE Optimisation
Real-time Overall Equipment Effectiveness monitoring with root cause analysis and automated operator alerts to maximise production asset utilisation.
Edge Computing
Low-latency processing at the network edge for applications where milliseconds matter — quality inspection, safety systems, and real-time control loops.
Unplanned Downtime Eliminated
For manufacturers, unplanned downtime typically costs $260,000 per hour. Our predictive maintenance systems have eliminated over 94% of unplanned downtime events for clients — delivering ROI that pays back the entire programme in under 6 months.
Our Industrial Transformation Approach
We work alongside your engineering teams — respecting operational continuity while driving capability forward.
Operations & Asset Audit
We walk your facility, assess your current automation maturity, review existing systems and data sources, and identify the highest-value digitalisation opportunities.
Connectivity Architecture
We design the industrial network topology, select sensor hardware, and define protocols to connect all target assets to a centralised data backbone — without disrupting production.
Pilot Deployment
We deploy sensors, edge infrastructure, and analytics systems on a single production line or asset group — proving value in weeks before scaling across the facility.
Scale & Integrate
We roll out across all target assets and integrate industrial data streams into your enterprise systems — ERP, CMMS, EAM — for closed-loop business processes.
Industries We Automate
Our industrial autonomy practice serves asset-heavy industries where operational efficiency directly impacts profitability.
Discrete Manufacturing
Automotive, electronics, aerospace — precision automation for high-complexity assembly and quality control.
Process Manufacturing
Chemicals, pharma, food & beverage — continuous process monitoring, batch optimisation, and regulatory compliance.
Energy & Utilities
Power generation, grid management, and renewable energy asset monitoring with predictive maintenance and efficiency optimisation.
Logistics & Warehousing
Automated guided vehicles, warehouse management, sortation systems, and last-mile robotics integration.
Why TechPros for Industrial Autonomy?
Industrial automation requires a rare combination of OT (operational technology) expertise, IT architecture skills, and data science capability. Our multidisciplinary teams bring all three — without the typical vendor lock-in.
- Certified industrial automation engineers with OT/IT convergence expertise
- Hardware-agnostic — we work with your existing equipment vendors
- Safety-first design: IEC 62443 cybersecurity for industrial systems
- Pilot-first approach — prove ROI before committing to full rollout
- Ongoing managed analytics and model retraining services available
TechPros deployed predictive maintenance across our 12 critical CNC machines. In the first year, we had zero unplanned breakdowns on those assets — compared to 23 the year before. The saving in lost production and emergency maintenance exceeded $2.1M.