Civil engineering: sensor information, in real time.
An engineering consulting firm now sells its clients the information from its field sensors, in real time.
Selling its sensor information to its clients, in real time.
The problem
The firm continuously received data from many sensors of different types installed in the field. That data was not brought together in one place.
It could not get a real-time reading from it, for its teams or for its clients.
We connected the different sensors to a central data layer. Measurements arrive there continuously.
- Field sensors
- The firm's projects and clients
We agreed with the firm on what gives the measurements meaning: which project and which client each sensor belongs to, what counts as an event and at what threshold an alert is raised.
- Project
- Client
- Event
- Threshold
- Alert
On that foundation, we developed a custom, AI-native application that the firm offers to its clients.
- Custom application → An AI-native application that gives the firm's clients real-time analytics on their projects.
- Thresholds and alerts → An alert when a measurement goes past the threshold agreed for a project.
- One access per client Each of the firm's clients sees only its own projects.
Results
The firm now sells real-time information to its clients, in its own application.
Tell us about your real-time data.
Tell us what data comes in and who should be able to see it. We'll look at what needs to be connected, together.