Industrial IoT
Connect machines and sensors, and bring their data to the cloud in near real time.
We connect equipment and data, predict problems before they stop production, and give operators a clearer view of how plants are running.
Our experience in manufacturing covers industrial IoT, predictive maintenance and digital twins. The sections below describe the problems we help solve.

Equipment failures stop lines, delay orders and cost far more than planned maintenance.
Data from equipment, sensors and enterprise systems rarely comes together.
Operators react to problems after they have happened.
Trying new settings or layouts on a running line is risky and expensive.
Connect machines and sensors, and bring their data to the cloud in near real time.
Models that spot early signs of failure so work can be planned before breakdowns.
Identify unusual patterns in production and equipment data.
Virtual models of equipment or processes for simulating changes and optimising operations.
A consistent view of performance across lines, plants and sites.
Continuous monitoring of conditions such as temperature, humidity and indoor air quality, with alerts for critical levels.
Start where downtime or quality issues cost the most.
Bring data from equipment and systems into a common platform.
Build predictive models and check them against known events.
Put alerts and insights into the tools maintenance and production teams use.
Extend to more assets and sites.
Built on AWS IoT, data and machine learning services.
Insights inform decisions. Control of equipment stays with your systems and people.
Device identity, encryption and network segmentation between plant and cloud.
Your production data stays under your control.
Monitoring and support so insights keep arriving.
Let's identify the opportunity and determine the right path to a working solution.
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