Overview
InVi AI is an XR and AI insurance inspection platform exploring how smart glasses can make property claim inspections easier, faster, and more consistent.
The project was selected as a finalist at XRCC and is being built in collaboration with an international team, with members based in Canada, the USA, and India.
The core experience is designed for wearable XR devices such as Meta Ray-Ban Display and Snap Specs, supported by a companion Android app and a Next.js admin portal.
The glasses experience is the centre of the concept. Instead of forcing an inspector to constantly switch between a phone, checklist, camera, and report notes, InVi AI explores a heads-up inspection workflow where the inspector can view prompts, capture evidence, and receive AI-assisted guidance while staying focused on the property.
My Role
My role covered both product/team leadership and hands-on development. I managed the international team while also building the app experience and leading the XR and AI integration.
Key Features
- Smart glasses inspection flows for Meta Ray-Ban Display and Snap Specs
- Companion Android app for field workflows, camera access, and device connection
- Next.js admin portal for claim setup, inspection review, and reporting
- AI-assisted property damage review and evidence capture
- Voice-guided inspection steps
- Mobile fallback workflows when glasses are not connected
- Insurance claim reporting and review flows
Technology Stack
- Wearables: Meta Ray-Ban Display, Snap Specs
- Mobile: Android companion app
- Web: Next.js admin portal
- AI: AI-assisted damage review and inspection support
- Product focus: insurance claim inspections, evidence capture, and field reporting
Project Goal
Property claim inspections involve visual evidence, structured checklists, photos, location context, and reporting. InVi AI explores how XR and AI could reduce friction in that workflow by helping inspectors capture the right information at the right time.
The goal is to make inspections feel less like manual admin work and more like a guided field workflow, where wearable devices and AI support the inspector without getting in the way.
Status
XRCC finalist / prototype in progress.