Production sites with machinery
Plants that want to spot faults early and cut downtime with planned maintenance.
We build systems that show you, in a single dashboard, where your devices, machines and vehicles are, what condition they are in and how efficiently they are used.
Plants that want to spot faults early and cut downtime with planned maintenance.
Businesses that want to track vehicle location, usage and maintenance dates in one place.
Hospitals, campuses or offices that need to know where each item is and who has it.
All your devices, machines and vehicles in a single register.
Real-time tracking of your assets with IoT sensors and location data.
Planned maintenance schedules, fault logs and maintenance history.
Analysing sensor data to anticipate failures before they happen.
Utilisation, downtime and cost reports.
Field teams handle asset and maintenance tasks from their phones.
Asset management needs IoT, mobile apps, a web dashboard and data analytics to work together. Our own team covers all of these, so you have one point of contact from device to report. We describe our approach to predictive maintenance in a blog post.
We listen to your needs, goals and constraints in a free first meeting.
We put the scope in writing and prepare an itemised quote.
We work in short stages and share a working version with you at the end of each one.
We launch, then stay with you for maintenance, monitoring and new features.
How to build IoT remote monitoring with sensors, gateways, Wi-Fi, LTE-M, NB-IoT, LoRaWAN and MQTT, plan for outages and security, and start with a pilot.
Read More: Remote monitoring with IoT: a starter guide for businessesWhich data predictive maintenance needs, how methods range from thresholds to anomaly detection and remaining useful life models, and where to start.
Read More: The Role of Data Analytics in Predictive MaintenanceAny equipment you want to register, locate or monitor, such as machines, vehicles, computers and measuring instruments. Assets that can’t carry a sensor are tracked with QR codes or barcodes; those with sensors are tracked with live data.
We build it to fit your needs, so the system matches your asset types, maintenance processes and the other systems you use.
Predictive maintenance means analysing data such as vibration, temperature and current from machines to anticipate failures before they happen. Compared with calendar-based maintenance, it reduces unnecessary maintenance and unplanned downtime.
Antalya Technopark · Supported by TÜBİTAK & KOSGEB