Reliable condition monitoring with industrial sensors and edge AI. Standards-based measurements, actionable diagnostics, and a scalable architecture that grows from one line to multi-site deployments.
Every factory is different, so the impact of downtime varies by process, product mix, and shift structure. Instead of generic claims, we tailor predictive maintenance to your context. Our approach combines standards-compliant vibration monitoring (ISO 10816/20816), proven industrial sensors, and NVIDIA Jetson edge processing for fast, reliable insights without dependency on the internet.
ISO 10816/20816 compliant measurements
Local decisions on NVIDIA Jetson
OK/NOK alarms, EtherNet/IP/PROFINET
From one machine to multi-site cloud
Track overall machine health trends for pumps, fans, and motors. Quick to deploy with minimal disruption to your operations.
Early fault detection for bearings and gearboxes with detailed diagnostics. Catch problems weeks before they become failures.
We use proven industrial-grade sensors from trusted manufacturers like Banner Engineering and Autosen. These sensors are built specifically for harsh factory conditions and deliver reliable data you can trust for critical maintenance decisions.
Rugged vibration sensors designed for continuous monitoring in demanding industrial environments. Perfect for basic trending and ISO 10816 compliance.
Advanced multi-axis sensors with built-in intelligence for early fault detection. Automatically learn your equipment patterns and set optimal thresholds.
Battery-powered wireless sensors for vibration, temperature, current, and pressure monitoring. Install anywhere without running cables or power.
Modernize your existing sensors without replacement. Convert analog signals from current equipment into smart, connected monitoring systems.
Direct integration with your existing control systems. Get OK/NOK alarms right in your operator screens and maintenance dashboards without changing your workflow.
Connects wireless sensor networks and handles local data processing. Provides secure cloud connectivity when needed while maintaining local operation capability.
Built on industry-standard protocols that work with any PLC, SCADA system, or CMMS. No vendor lock-in means you maintain flexibility for future changes.
Industrial computer that processes sensor data locally for real-time alerts and decision making. Continues working even during network outages, ensuring continuous protection.
Optional cloud platform for managing multiple facilities, advanced reporting, and cross-site benchmarking. Secure connection enables remote monitoring and management.
Predictive maintenance delivers measurable returns from the first months of deployment. By shifting from reactive fire-fighting to data-driven condition monitoring, manufacturers reduce maintenance costs and eliminate costly unplanned downtime. Here are the numbers that matter.
Reduction in maintenance costs
Reduction in unplanned downtime
Extension of equipment lifespan
Typical payback period
Fix equipment only when it breaks. Results in unplanned downtime, emergency repairs, and secondary damage. Maintenance costs are 2-5x higher than planned approaches.
Replace parts on a fixed schedule regardless of actual condition. Reduces breakdowns but leads to over-maintenance — up to 30% of scheduled work is unnecessary.
Monitor actual equipment condition with AI and intervene only when needed. Combines the lowest cost with the highest uptime — the ROI of predictive maintenance speaks for itself.
DigitFactory connects to your existing automation infrastructure out of the box. Our PLC integration layer supports all major industrial IoT protocols, so you can start collecting data without replacing your control systems or SCADA setup.
Native S7 communication with S7-300, S7-400, S7-1200, and S7-1500 controllers. Read process data, alarms, and diagnostic blocks directly — no additional middleware required.
Full Modbus TCP and RTU support for connecting legacy PLCs, drives, and sensors. Works with equipment from any vendor that speaks the industry's most universal protocol.
OPC-UA client for secure, structured data exchange with modern automation systems. Browse server address spaces, subscribe to data changes, and integrate with SCADA seamlessly.
EtherNet/IP connectivity for Allen-Bradley / Rockwell environments. Read tags directly from ControlLogix and CompactLogix controllers for real-time condition monitoring data.
Lightweight MQTT messaging for industrial IoT sensor networks and REST API for integration with MES, ERP, CMMS, and custom enterprise applications.
Bi-directional SCADA integration pushes alerts to operator HMIs. MES connectivity enables maintenance scheduling based on production plans and equipment priorities.
Most manufacturing plants operate at Level 1 or 2. Moving to condition-based maintenance (Level 3) is where the biggest ROI gains happen. We help you assess your current maturity and build a practical roadmap to predictive and prescriptive maintenance.
Fix it when it breaks. No monitoring, no planning. Highest cost per failure, maximum unplanned downtime, and risk of secondary damage to surrounding equipment.
Scheduled maintenance at fixed intervals based on manufacturer recommendations. Reduces breakdowns but introduces over-maintenance risk — parts replaced too early waste budget.
AI-powered condition-based maintenance monitors actual equipment health. Machine learning models detect degradation patterns weeks before failure — intervene only when data says it is time.
AI not only predicts failures but recommends specific corrective actions, optimal timing, and spare parts. Prescriptive maintenance closes the loop between detection and resolution automatically.
We propose a short pilot tailored to your machines, with clear success metrics and integration to your existing PLC/SCADA and maintenance workflows.
Schedule a free consultation