Start monitoring your machines, labour performance and scrap in real-time in minutes
How ThingTrax Works
We Capture
- Connect device under an hour
- Completely wireless
- Work with any machine
We Analyse
- Analyze downtimes
- Real-time Production
- Energy Usage Analyses
You Act
- Get Actionable Insights
- Increase Efficiency
- Save Energy
About ThingTrax
We are an Industrial IoT company focused on transforming the way manufacturing machinery is monitored, controlled and serviced.We are here to change this. Our differentiator is to provide an end to end service to the customer from devices to the cloud including low CAPEX rapid onboarding.
We provide data capture devices which connect with various machine PLCs (programmable logic controllers) and motors. These devices send data to our cloud platform for analytics power through machine learning.
Visualise and Control your Manufacturing process faster than any other Platform
What Our Customers Say
“Thingtrax provide us 360” view of our factories across the world which is accessible anytime anywhere.
– Iplas – John Rilley
“ThingTrax saved us money from day one”.
– Ajay Ticku(Technical Director Bindal Technopolymer)
Latest Blog Posts
The Value of AI in Manufacturing
Artificial intelligence (AI) is growing in use across a variety of sectors, and manufacturing is no different. The value-added AI provide in safety, efficiency and cost savings is incredibly valuable for any business. The manufacturing industry is constantly under...
ThingTrax Factory Smart Vision System has helped Manufacturing Firms reduce Accidents and save Costs
Machine vision-based solutions monitor and alert to production and safety issues in real-time London, UK, 13 September 2019 – Factory Smart Vision System (FSVS) is a collaboration between manufacturing firm RGE Group (RGE) a trade injection moulder, and ThingTrax, an...
How ThingTrax simplifies Production Monitoring
One big challenge manufacturing companies are facing in today’s world is to monitor their production process accurately. Majority of the manufacturing companies are still using traditional methods of collecting data of essential parameters, that is asking their...