Detecting
Using real-time anomaly detection algorithms to monitor a machine’s behavior while operating can provide valuable insights and help identify abnormal patterns or deviations from expected behavior.
Diagnosing
using artificial intelligence techniques or your expert’s knowledge by analyzing machine data to diagnose machine failures remotely. it gives you a deep insight into the problem before the first call from the customer side.
Predicting
Using artificial intelligence techniques to predict when the machine possibly needs maintenance to prevent unplanned downtime. it helps you to schedule your maintenance plan and prepare your maintenance team, tools, and spare parts.
MONITOR REMOTELY, DELIVER GLOBALLY
World Wide
Coverage
Equipment manufacturers are strategically positioned to leverage machines’ data using AI and IoT tools.
STAY CLOSE TO YOUR PRODUCTS AFTER THE SALE.
- Installation Start-up
- Remote Assistance
- Machine Evaluation and Optimization
- Training Customers Technician
FROM COLLECTING DATA TO COLLECTIVE LEARNING
SMART SENSORS
Collect the data you need by attaching sensors to the body of your machines.
AI PROCESSING
Make a better decision by processing data with machine learning algorithms.
WIRELESS NETWORK
Using a WI-FI mesh network makes it possible for all your machines to be connected, securely and easily.
OUR PARTNERS AND CUSTOMERS
ventureLAB™ is a leading global founder community for hardware technology and enterprise software companies in Canada.
prediot is a member of ventureLAB.
LATEST POSTS FROM PREDIOT BLOG
Monitoring remotely and delivering globally
Prediot Mesh Networking
Why Wireless in Harsh Industrial Environments?
Predictive Maintenance and IoT
The future of manufacturing and role of data
OEMs Need New Business Models
Industrial Inventory Management
How Prediot can help the clean energy sector
Challenges in the aftermarket services
Maintenance Strategies on an Industrial Scale
Prediot main focus
