Spatial intelligence,FritzNoMo is BOAXR's enterprise spatial computing platform — a deeptech engine that turns physical environments into addressable, machine-readable space. Built for the operators, engineers, and frontline teams who need mixed reality to actually work in production.
A unified deeptech runtime — perception, persistence, collaboration, and edge inference — designed to be deployed once and survive whatever your facility throws at it.
Reconstructs and remembers your environment across sessions, devices, and lighting conditions — no markers, no re-scan rituals.
Holograms stay where you put them. Across days, weeks, restarts, and different headsets walking into the same room.
Dozens of users in the same physical room — or remote — viewing and manipulating the same shared scene in real time.
Object recognition, defect detection, and pose estimation running at the edge — no round trips to a server, no data leakage.
One codebase, every device. Quest, Vision Pro, HoloLens, Pico — and the next generation, whatever that turns out to be.
Run the entire stack inside your perimeter. Spatial data, telemetry, and inference never leave your network.
FritzNoMo is built as a clean stack — sensing at the bottom, applications at the top — so teams can plug in at the layer that fits their use case.
Each layer is independently addressable. Use the full SDK to ship a turnkey experience, or drop down into the perception core if you're building something we haven't imagined yet.
Everything compiles to a single runtime that ships to the headset. No bloat, no surprise dependencies, no internet required at runtime.
The benchmarks that matter when MR moves from demo to deployment.
FritzNoMo isn't built for the metaverse. It's built for floor plans, work cells, training bays, and the people who maintain them.
Overlay step-by-step instructions onto the part in front of you. Catch defects the moment they happen, not after the line moves.
An engineer in Bengaluru can stand inside the machine a technician in Hamburg is repairing — and point at the bolt that matters.
Repeatable, instrumented training scenarios that run on real equipment without the risk, the downtime, or the consumables.
Bring the BIM model, the IoT telemetry, and the floor itself into a single shared layer that anyone with a headset can step inside.
We're picking a small group of design partners for the first wave of pilots. If you have a problem that needs spatial computing to actually work — and you're willing to break it with us — we want to hear from you.