Smart Services with Intelligent Edge Computing

At Distence, we focus on making industrial assets in demanding environments intelligent. With our Edge Computing technology, we increase the autonomy of machinery, devices and equipment and enable them to be connected to the company’s business processes with a true system-of-systems architecture.

Key in our offering is Distributed Intelligence. Our mission is the realization of higher Return on Assets and Operational Excellence through the digitalization and connectivity of industrial assets. With 14 years of experience, we have delivered best in class intelligent solutions to over 40 countries, connecting and making thousands of assets intelligent. Distence is well positioned to partner up with the most demanding customers.

With our solutions, our customers access, in both OEM and retrofit environments, the benefits of the industrial Internet with a proven and robust technology. With the speed and agility of an innovative award-winning partner, we help our customers focus on what matters: the information that delivers higher return on assets and operational excellence.

Higher rate of return for the industrial capital

The IoT solution must originate from the business. Bringing intelligence to industrial machinery and devices and connecting them to the business processes allows significant gains in terms of a return on investment. We deliver an industrial internet solution based entirely on our customer’s business requirements and ROI goals.

Remote control and transparency

On-site machines and equipment, often unmanned or unsupervised, represent a higher risk than, for example, those who are just under one’s own eyes. What if these sites would have almost the same visibility: who would use them, how, in what condition they are, and what kind of profits they generate, 24/7? Distence’s flexible technology allows fast implementation of a stable solution for this need.

Higher Autonomy

The life cycle costs represent up to 90% of the total costs of industrial machinery. Manual actions, time-based servicing instead of need-based, inability to dynamically react to the environment, and many other constraints, are compromising the productivity over the whole life cycle. Digitalisation of new and existing field machines is our core competence.