Case Studies: What Will Buildings Do For Us? - 1st Floor - OBOS, next to Networking Lounge

Agenda

1. 11:10–11:14

   Life@Work: The building as a service

   • Atle Olsen

   Life@Work already puts access to rooms, desks, food, fitness, parking, communication, and building services into one interface. Their question is what happens as that interface becomes intelligent: can the building begin to understand what you need rather than waiting for you to navigate it?

2. 11:14–11:18

   Awaio: The building that adapts to how we use it.

   • Björn Kjellgren

   Bookings, access and resource use create a live picture of how workplaces are occupied. Awaio shows what happens when buildings are increasingly configured around observed behaviour rather than fixed assumptions about how many desks, rooms, lockers and square metres people need.

3. 11:18–11:22

   Visoid: When we can see the building before we decide

   • Mark Szoke

   Visoid uses AI to turn architectural models and sketches into visualisations in seconds and rapidly test materials, lighting, seasons and design alternatives. Their angle is how cheap, near-instant visualisation changes who gets to understand, test and influence a building before it exists.

4. 11:22–11:26

   Plaace: The building that understands its neighborhood.

   • Snorre Jordheim Myhre

   Plaace combines movement, demographics, spending, competition and other location data to understand how places actually function. Their question can move beyond site selection: what happens when buildings and neighborhoods are programmed around evidence of who is there, when they come, what they need, and what is missing?

5. 11:26–11:30

   Adaptive Recognition: The building that knows who belongs.

   • Zsolt Nagy

   Adaptive Recognition's Einar Gate uses license plate recognition and digitally managed permissions to open gates for authorized vehicles – without remotes or access cards. The question is what happens when the digital building experience reaches the entrance: can buildings make arrival simpler, reduce manual coordination, and respond to the people who use them, rather than asking them to navigate another system?

6. 11:30–11:34

   bGrid: The building that saves energy by learning how we work

   • Wouter Kok

   Using a network of intelligent sensors, bGrid turns occupancy, movement and indoor climate data into buildings that adapt automatically to their users. Lighting, heating and ventilation respond to how spaces are actually used, rather than fixed schedules. What happens when buildings learn our habits, anticipate our needs and optimise themselves without being told?