Field intelligence

Report accessibility wins and gaps with a cinematic, AI-assisted hub.

Snap, describe, and share your surroundings. Our AWS + GPT trust layer validates every detail and publishes it to the public map within seconds.

Start reporting Preview live map
45s Avg. verification
92% AI confidence high
Realtime GeoJSON updates
Ramp detected Match score
GPT verification 88% confidence
Needs review Missing tactile paving Flagged in 12 nearby locations
Submit evidence

Drop a hyperlocal accessibility signal

Clear descriptions and focused photos help our models validate your findings faster.

Waiting for location permission…

Share a description and photo to get started.

Location capture uses the browser's Geolocation API. It requires HTTPS (or localhost) and explicit permission from the user.

Want to supercharge adoption? Embed this form in community portals or campus kiosks in minutes.

Trust pipeline

Human intent, machine-verified

Each submission flows through a transparent verification stack so cities can act instantly.

  1. 01

    Capture & geotag

    Browser locks your coordinates and packages imagery with metadata inside a signed payload.

  2. 02

    Rekognition insights

    AWS checks for ramps, signage, elevators, and tactile cues with tuned confidence thresholds.

  3. 03

    GPT audit

    LLM compares human narrative with machine vision to flag mismatches or boost trust signals.

  4. 04

    Map broadcast

    Verified data emits to the public map, powering dashboards, exports, and policy interventions.

Live map nodes 342 +28 this week
Avg. GPT agreement 91% Stable
High-priority alerts 17 Escalated
Live intelligence layer

Explore the interactive accessibility atlas

Filter by confidence, pivot to neighborhoods, and stream GeoJSON for municipal dashboards or digital twins.

Launch the map
Elevator signage • 95% Downtown transit hub
Ramp compliance • 82% Community center