Maximize your data’s potential.

Blazing a path to Industry 4.0.


Making data work for your customers.

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


A factory assembly floor controlled using IoT sensors and accuators.


Asset tracking

Keep it moving, people. As everything becomes smaller and more portable, tracking all those little parts and pieces of customers’ industrial businesses are essential. IoT technology helps provide a high level of precision tracking at a low cost, making it practical to see exactly where all their assets are in real-time. They’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.


Equipment & machine utilization

What good is equipment that isn’t making the grade?  Your customers can monitor the performance of their machines and equipment including the frequency of use, speed of operation, sound/vibration analysis, and they’ll know exactly when their 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.


Predictive maintenance

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

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


Defect detection & quality

Make sure humans aren’t the only ones watching your customers’ stuff. Machine vision can automate how they inspect the products on their assembly line, giving them 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.