Maximize your data’s potential.

Blazing a path to Industry 4.0.

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Making data work for you.

Data is more than a bunch of ones and zeros when you’re talking about manufacturing efficiency. Let the data guide your decisions instead of your decisions guiding your data.

Applications

A factory assembly floor controlled using IoT sensors and accuators.

01

Asset tracking


Keep it moving, people. As everything becomes smaller and more portable, tracking all those little parts and pieces of your industrial business is essential. IoT technology helps provide a high level of precision tracking at a low cost, making it practical to see exactly where all your assets are in real-time. You’ll know where it is, what it’s doing, how fast it’s doing it, and when it needs to be repaired – no matter what “it” is.

A man checks the levels of a piece of equipment after receiving an alert from the IoT software on his tablet.

02

Equipment & machine utilization


What good is equipment that isn’t making the grade?  Monitor the performance of your machines and equipment including the frequency of use, speed of operation, sound/vibration analysis, and you’ll know exactly when your equipment is being underutilized or needs to be repaired.

A worker in a factory inspects a piece of equipment after receiving an alert from the IoT sensor.

03

Predictive maintenance


When was the last time you changed the oil in that thing?  Proactive equipment maintenance assesses the current state of your assets, predicts the future needs more accurately, and schedules maintenance right on time. By watching for sound, temperature, utilization, and vibration levels, you can increase performance and improve product quality.

A factory worker measures the duct supply using IoT software on his laptop.

04

Defect detection & quality


Make sure you aren’t the only one watching your stuff. Machine vision can automate how you inspect your products on the assembly line, giving you a real-time heads up on quality, cost, and production timing. We use computer vision to help identify issues like missing labels or information, product defects, inconsistent product assembly, and size deviations.