Start quickly. Decide with confidence.

EdgeBrain makes existing machine and process signals useful. It reveals deviations and relationships that can help reduce scrap, avoid downtime and improve processes in a targeted way.

Our approach is designed for a quick start. Once suitable signals are available, initial analysis can begin promptly. How soon robust results emerge depends on data quality, the process and the frequency of relevant events.

We start with a clearly defined question and use existing sensors and available interfaces. In many cases, this avoids the need to install extensive additional measurement equipment or build a new data platform.

Passive analysis is designed to require no changes to the machine program or existing process. We capture available signals through suitable interfaces. Together, we check the specific connection and access requirements in advance.

We primarily use the sensors already in place. Additional sensors are considered only if the available signals cannot adequately answer the question at hand.

No. Analysis can begin locally at the machine. Depending on your requirements, EdgeBrain can connect to existing higher-level systems or a cloud. This keeps the initial setup straightforward while allowing future expansion.

Our approach targets early financial benefits through fast implementation, low integration effort and a specific operational improvement. Actual payback depends on project costs and verified savings.

Before starting, we agree a measurable target together, such as scrap costs or unplanned downtime. We then compare results against a clear baseline and account for implementation and operating costs.

EdgeBrain can reveal patterns, changes and relationships in machine and process signals. Which deviations can be detected reliably is assessed for the specific application.

Initial analysis reveals potential and points to areas worth investigating. For reliable ongoing use, results are checked across relevant operating conditions and assessed together with your team.

To get started, we need a technical contact, a clearly defined question and access to suitable signals. We clarify the technical connection and support the analysis. The specific internal effort is agreed before the project begins.

Together, we select a machine and an application with clear financial relevance. After a brief signal and interface check, we begin a well-defined analysis and evaluate the results together.