The Next Chapter: From Indoor Maps to Autonomous Building Intelligence
Since Mapxus's Series B led by Kawasaki Heavy Industries and our partnership with Apple Maps as an official global indoor mapping partner, the question on every investor's and client's mind has been: what's next? Today we're sharing the strategic pillars of our 2027–2028 product roadmap — and the answer is nothing short of a fundamental leap in how buildings operate.
Pillar 1: WiFi 7 Positioning — Sub-30cm Indoor Accuracy
WiFi 7 (802.11be) is the most significant wireless standard upgrade in a decade, and it's about to transform our hardware-free positioning technology. Our R&D team has been working with pre-release WiFi 7 chipsets, and the results are extraordinary:
- Sub-30cm accuracy: WiFi 7's multi-link operation (MLO) and 320MHz channels give our AI fingerprinting algorithms 4x more spectral data to work with, pushing accuracy from the current 1–2 metre range down to under 30 centimetres
- Deterministic latency: WiFi 7's time-sensitive networking (TSN) support enables real-time positioning updates at 100ms intervals — critical for autonomous robot navigation
- Backward compatibility: Our models will continue to work with WiFi 5/6 infrastructure, with accuracy scaling automatically as venues upgrade to WiFi 7
For IntelliSpace customers, this means compliance monitoring with room-level — and soon zone-level — precision. Fire exit blockages, equipment placement violations, and access control breaches can be detected with unprecedented granularity.
Pillar 2: Real-Time Digital Twin Integration
Q3 2027 will see the launch of Mapxus Digital Twin Bridge — a bidirectional data pipeline that synchronizes our indoor spatial data with leading digital twin platforms. This isn't a static 3D model; it's a living, breathing replica of your building that updates in real-time:
- BIM integration: Native Autodesk Revit and IFC import/export, so your building information model stays synchronized with actual spatial conditions
- IoT sensor fusion: Temperature, humidity, air quality, and occupancy data overlaid on Mapxus's spatial graph, creating a unified environmental intelligence layer
- Predictive compliance: Machine learning models trained on historical spatial data to predict compliance failures 14–30 days before they occur
Pillar 3: Apple visionOS & Spatial Computing
As Apple's official indoor mapping partner, we have early access to visionOS spatial computing APIs. Our 2027 roadmap includes:
- Immersive facility walkthroughs: Property managers can virtually inspect any floor, room, or zone using Apple Vision Pro, with real-time compliance status overlays
- Spatial annotation: Mark compliance issues, maintenance requirements, or safety hazards directly in 3D space — annotations persist and sync across all Mapxus-connected systems
- Remote expert assistance: Compliance auditors can join spatial sessions remotely, viewing the exact same 3D environment as the on-site inspector
Pillar 4: Autonomous Building SDK (AMR-Ready)
The biggest commercial opportunity in our roadmap is the Mapxus Autonomous SDK, launching H1 2028:
- Navigation API: Turn-by-turn indoor navigation for autonomous mobile robots with collision avoidance and dynamic path replanning
- Semantic scene understanding: Robots receive not just coordinates but contextual information — "this is a fire exit, do not block," "this corridor narrows to 1.2m ahead"
- Fleet coordination: Multi-robot scheduling and deconfliction across shared indoor spaces
- Compliance-by-design: Every autonomous action is automatically logged in IntelliSpace's legal evidence chain
This SDK opens enterprise B2B SaaS licensing across logistics, heavy industry, hospitality, and security — markets that collectively represent a US$47B opportunity by 2028.
Timeline
WiFi 7 positioning enters beta in Q1 2027, Digital Twin Bridge launches Q3 2027, visionOS support in Q4 2027, and the full Autonomous SDK in H1 2028. Existing IntelliSpace customers will receive all positioning and compliance upgrades automatically as part of their subscription.
