Capture Platform
Truzzel's AI Vision capture pipeline is device-agnostic by design. Phone today, smart glasses tomorrow, autonomous AI agents in production right now.
Phone capture
Live today. The hardware is already in their pocket.
Operators use a phone camera to capture the evidence that barcode scanners miss: supplier labels, bills of lading, COAs, damage photos, and signatures.
The same capture event links image, timestamp, operator, extracted fields, and review status. One action, one evidence chain.
PWA / browser capture
Same pipeline. No app install.
Desk-based reviewers, managers, and remote auditors can use the same capture workflow from a browser. The input changes; the evidence model does not.
That matters when a manager needs to upload a supplier PDF, review an exception, or attach audit evidence without being on the floor.
MCP capture
Your AI agents can operate the capture API.
Truzzel's MCP server exposes the capture API to your own AI agents — Claude, OpenAI Codex, OpenClaw — so your agents can capture, validate, and commit operational records without human keyboard input.
Agent actions are scoped, logged, and attached to the same operational record your human team uses.
Smart glasses roadmap
Wearable cameras arrive. The capture API stays the same.
Apple smart glasses (2026), Samsung Galaxy XR (Android XR, live), Project Aura (2026), and Gemini AI glasses (2026) all point in the same direction: hands-free cameras on the floor.
When your operator wears wearable cameras on the floor, the same capture API runs. No rebuild. No migration.
Architecture
Structurally different from scanner-first ERPs
Most ERPs would need a 6-month rebuild to add wearable support. Truzzel was designed for it from day one.
deviceType
Every CaptureSession can identify whether evidence came from phone, browser, MCP, or future wearable input.
deviceFingerprint
Device context is stored with the event so review, audit, and anomaly checks can reason about source integrity.
spatialAnchor
The schema already has a place for location-aware capture context when head-worn devices enter the workflow.
Capture the floor. Then let AI do the work.
See how Truzzel turns phones, browsers, agents, and future wearable cameras into one evidence-native capture layer.