Understanding how someone uses a building is key to improving and optimising the space. Until now the only way to create this feedback loop is through laborious observation and interviews, this not only takes resource collecting and analysing the data put also processing all the information to sift out the valuable insights. Beringar has developed an IoT (Internet of Things) sensor that collects 15 data points in real time from Occupancy, Person location, Asset Tracking, Environmental and Air Quality. To do this, a network of sensors communicate the data into

Beringar’s patent pending machine learning algorithms; this communication is done via the Long Range (LoRa) network technology. This IoT device uncovers building use pattern and environmental data which provides powerful insights for owners and occupiers to help drive up comfort levels and business productivity.

Filament worked with our client Beringar from the initial Proof of Concept (POC), developed by CENSIS, through to producing a first production batch of units which underwent testing with selected beta partners. Beringar’s devices operate under a Hardware as a Service business model, so reliability, ease of installation and maintenance is key to a successful return on investment (ROI). Taking the feedback from these early beta test units, we worked closely with Beringar to refine the design and installation interaction on the production devices.