"I spent 3 hours on a commercial unit last week because I'd never seen that model before. I had to call my supervisor twice and still needed a return visit. That's $800 in lost revenue for one job."
This happens thousands of times daily. With a shortage of 110,000 qualified technicians, callbacks and repeat truck-rolls are eating your margins.
The glasses capture POV video and ambient audio. Our AI pulls full service histories and answers in under 2 seconds, fully on-device when offline. A human expert backs the tech up when needed. Every session records in 3K with AI summary.
Techs pair Meta Ray-Ban glasses to the SkillLens app. The moment a tech arrives, SkillLens pulls the unit's full service history—every past visit, what broke, and how it was fixed.
“Why isn’t it cooling?” — the AI watches pressures, hears compressor sounds, and walks the tech through diagnosis step by step. Fully on-device when there’s no signal, running with sub-2-second latency.
If an issue is too complex, loop in a senior expert remotely. Every session is auto-recorded in 3K video with both AI and tech audio, summarizing into a single audit clip for review.
First-person video and audio stream into our AI. The tech's hands stay on the tools — the glasses see and hear everything they do.
Continuous multimodal model watches pressures, listens to compressor cycles, reads gauges. Sub-2-second answers, every time.
“Why isn't this cooling?” — natural-language questions, no menus, no typing. The glasses pick up speech and ambient sound together.
Our flagship: full diagnosis runs fully on-device for rooftops, dead zones, basements. No wifi, no signal, no problem.
AI confidence below threshold? One word rings a senior expert into the same POV feed. Auto-matched by domain.
Every session: full POV video, AI↔tech conversation transcript, fault classification, parts used. Auto-summarized for audits.
Pair a FLIR ONE — anomalies overlay live in the glasses' field of view, called out by the model in real time.
Your team's notes, custom repairs, and tribal knowledge stay inside your workspace. Never used to train external models.
Set who escalations go to, on what unit, in what time zone. Internal experts first, network experts as fallback.
Residential Lennox short-cycling. Jin (8mo on the job) just asks the glasses what's wrong; our AI walks him through capacitor, contactor, and low-charge checks — flags a weak run cap before he opens the panel.
Daikin VRV in a steel-walled basement — zero bars. Priya asks the glasses what's throwing the comm-loss; on-device AI answers in under 2 seconds, walks through BMS-link reset, records the whole repair in 3K offline.
Reversed-wired condenser fan stumps Marcus. AI confidence drops. One word rings Dr. Grant into the glasses POV feed — he sees exactly what Marcus sees, talks through the fix.
The admin console auto-documents every visit — 3K POV video, full AI↔tech conversation, AI summary, fault classification, parts used. New hires watch real, in-org resolutions of the units they service.
A read on your whole field operation — what you spent, what you saved, who needs coaching, where you have coverage gaps.
My 8-month techs are closing jobs my 12-year techs used to get stuck on. Callbacks are down 64% in one quarter. It's the cheapest senior tech I've ever hired.
Still curious? Book a field demo, bring a tough fault — we'll resolve it live with one of your techs.
30-minute field demo. Bring a tough fault from your backlog — we'll resolve it live with one of your own techs. If we don't, lunch is on us.