2D editor and working 3D viewer.
2D floor editor with draft → validate → publish versioning, plus a real 3D preview built into both the admin editor and the kiosk viewer — rendered from your actual floor plan. Per-unit tenant branding baked in.
Operator-grade indoor wayfinding for malls, hospitals, campuses, and transit terminals. Built and maintained in-house, deployed in your country.
No download — Naviontel is a managed indoor wayfinding platform. We'll set it up around your floor plans and walk you through it live.
Naviontel combines indoor wayfinding, floor-aware map authoring, QR positioning, routing intelligence, and operator analytics into one open-source-friendly platform.
Here’s what’s in the platform today. Every bullet below is backed by real code in the repository, not a slide deck.
2D floor editor with draft → validate → publish versioning, plus a real 3D preview built into both the admin editor and the kiosk viewer — rendered from your actual floor plan. Per-unit tenant branding baked in.
Every route returns three options where a floor transition exists: Fastest, Avoid stairs, and Accessible (elevator-first). Every edge and node carries an accessibility flag. If a visitor drifts off-path, the route recalculates automatically. Emergency rerouting and graph validation are first-class.
Kiosk computes the route, renders it, then generates a self-hosted QR that lands the visitor’s phone on the exact same route — origin, destination, floor, and language preserved. Works on a LAN with no internet, because the QR is served from the same box as the kiosk. No external services required.
Building-level geofence polygons with a real admin polygon editor (OSM-backed search, click-to-draw, drag-to-edit vertices) gate indoor-session starts and campaign triggers. Layered zones — building, floor, POI, custom polygon — all first-class in the data model.
Full campaigns engine with zone targeting, floor/POI anchoring, time scheduling, priority, and surface routing (mobile / kiosk / web). View and click analytics per campaign. Admins manage everything from a dedicated console screen. This is how mall operators actually make money from indoor wayfinding.
Organizations → properties → buildings → floors → map versions. Draft, validate the routing graph (unreachable nodes, orphan POIs, mis-linked floor connectors), then publish safely — with rollback. Built from day one to run a portfolio of venues, not a single pilot.
The platform needs to show how visitor guidance, map operations, and building intelligence fit together. That is the real product story.
Search destinations, change floors, resolve location from QR anchors, and display route steps that understand stairs, elevators, accessibility, and restricted paths.
Operators need tools to upload floor plans, calibrate overlays, link POIs to nodes, manage connectors, validate the route graph, and publish safe versions.
Session events, route requests, scans, and live assistance become the basis for congestion analysis, traffic understanding, and safer building operations.
The strongest launch sites are buildings where navigation failure is expensive, repeated, and visible to operators.
Strong fit for floor-aware search, multi-point destinations, controlled circulation, and operator-maintained indoor map logic.
Strong fit for floor-aware search, multi-point destinations, controlled circulation, and operator-maintained indoor map logic.
Strong fit for floor-aware search, multi-point destinations, controlled circulation, and operator-maintained indoor map logic.
Strong fit for floor-aware search, multi-point destinations, controlled circulation, and operator-maintained indoor map logic.
The mobile experience is designed for people inside complex buildings who need to find the next step quickly, switch floors confidently, and recover their route without friction.
The right tone is high-trust building technology. Less lifestyle app. Less generic SaaS. More spatial infrastructure with a clean command-surface aesthetic.
One strong admin shell, one clear mobile route flow, QR anchors, validated graph publishing, and usable analytics are enough to prove value before adding BLE, AR, or predictive AI.