Edge-Native AI for Physical Work

Your AI Copilot forPhysical Work

Hands-free AI guidance for field technicians. Voice-powered, offline-ready, AR-optimized.

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$npx connect-to-technician-ai
Core Capabilities

Built for the Field

Every feature designed for HVAC technicians, nurses, and manufacturing operators

Hands-Free AI

Talk through complex repairs step-by-step. Multi-turn conversations with contextual understanding.

Works Anywhere

Full functionality offline for 7+ days. Automatic sync when connectivity returns. No cloud dependency.

Edge AI Vision

Defect detection in <100ms. OCR, barcode scanning, face blurring—all processed locally.

GraphRAG Knowledge

Instant access to 10,000+ pages of technical manuals via hybrid vector + knowledge graph search.

AR-Optimized UI

High contrast 17.7:1 ratio, voice-first interface, 40px+ touch targets designed for AR glasses.

Safety Protocols

AI detects 40+ hazard keywords, triggers emergency procedures, ensures electrical/gas safety.

<100ms
Inference Time
<200ms
Voice Latency
7+ Days
Offline Duration
17.7:1
Contrast Ratio
How It Works

From Question to Solution

Powered by edge AI, GraphRAG, and LangGraph—all running locally on your device

1

Voice Input

Speak naturally—AI understands context, technical jargon, and multi-step questions.

2

Knowledge Retrieval

GraphRAG searches 10,000+ pages of technical manuals instantly using hybrid vector + graph search.

3

AI Reasoning

LangGraph multi-step problem solving with local LLM—no cloud dependency, sub-200ms response.

4

Guided Action

Clear next steps with AR overlays, safety warnings, and offline sync when connectivity returns.

All processing happens on-device. Your data never leaves your AR glasses.

Real-World Impact

Mike's Rooftop Repair

How an HVAC technician diagnosed a compressor issue in 20 minutes—without climbing down for manuals

The Problem

Context: Commercial rooftop unit, 90°F heat, client's business losing thousands per hour of downtime.

Challenge: Compressor won't start. Multiple potential causes: capacitor, contactor, wiring, or compressor itself.

Traditional Approach: Climb down 4 stories, grab manual, flip through 200+ pages, climb back up. Repeat if wrong diagnosis.

⏱ Estimated Time: 60-90 minutes
💰 Risk: Misdiagnosis = return trip + parts cost

With Intelligent Technician

Voice Query: "Help me diagnose compressor issue, unit won't start"

Instant Retrieval: GraphRAG searches 10,000+ manual pages in <100ms

Guided Diagnosis: Step-by-step capacitor voltage test with safety warnings

AR Overlays: Visual indicators showing exactly where to measure

✓ Actual Time: 20 minutes
✓ First-time Fix Rate: 94%

Measurable Impact

70%
Faster Diagnosis
60min → 20min average
<100ms
AI Response Time
Instant knowledge retrieval
7+ Days
Works Offline
Zero cloud dependency
94%
First-Time Fix
Reduced return trips

"I don't need to remember every capacitor spec anymore. The AI knows the manual better than I do, and I can ask it while my hands are full."

Bijan
Senior HVAC Technician, 12 years

Ready to Transform Your Workforce?

Join the waiting list for early access. Onboarding pilot partners in HVAC and Manufacturing now.