Unplanned Downtime

Most of the time between fault and fix isn't spent fixing

It's spent waiting for the right person to become available, communicating the fault description back and forth, and then re-diagnosing a problem that's come up before but wasn't properly documented the first time.

ContinuumAR puts your remote expert's eyes on the fault in minutes via a live AR headset feed. They see it directly, guide the resolution with live annotations and structured checklists, and everything from the session gets stored on the ticket. When the fault reappears, the resolution record is already there.

Where downtime time goes
Getting to diagnosis
Without AR: hours, waiting for expert travel. With ContinuumAR: minutes from headset login to live expert call.
Repeat faults
Every session is recorded and stored on the ticket. The AI assistant surfaces prior resolutions so the same fault doesn't start from scratch each time.
Knowledge leaving
When experienced engineers move on, their resolution history stays in the platform rather than walking out with them.
Used by VIA Automation e-Boost · Pioneer Power Solutions VIE Technologies
What's actually happening

The fault itself is rarely the expensive part

The expensive part is the sequence that follows. The technician on site doesn't have the depth to diagnose it alone. They reach someone who does. That person can't see the fault from a verbal description, so they hedge — ask more questions, suggest a few things to check, eventually decide they need to go in person. Now you're waiting on travel.

When the expert finally arrives, they start from scratch because whatever was communicated over the phone wasn't written down in a useful form. They fix it. They leave. Nobody documents what the actual cause was or how it was resolved. Six months later, the same fault comes back and the same sequence repeats.

ContinuumAR doesn't solve all of this. But it does compress the time to first diagnosis from hours to minutes, and it does build a searchable record of every resolution that persists past the individuals involved.

How it works

From fault to resolution — and the session after that

The live session

The technician opens the fault ticket on their RealWear or Six15 AR headset and calls the expert by voice — no typing, both hands on the equipment. The expert joins from a browser window and receives the live HD video feed from the headset camera, pointed at exactly what the technician is looking at.

The expert annotates the feed in real time — arrows, labels, highlights that appear in the technician's display as they draw them. A diagnostic checklist runs alongside: steps appear one at a time, confirmed by voice, responses logged automatically to the ticket.

The record that follows

When the call ends, the recording, transcript, completed checklist, and any snapshots all attach to the ticket automatically. The AI chatbot can retrieve this history via natural language before the next call on the same equipment — "what was the resolution last time?" — without manual searching.

Linked tickets connect recurring faults on the same equipment line. Patterns across incidents become visible, which is often where the root cause actually sits rather than in any individual fault report.

Platform specifics

What's built to shorten resolution time

Expert access
One voice command initiates the call from the headset. The expert connects from a Windows browser — nothing installed on their end. The live feed starts immediately. The main constraint on speed is expert availability, not the platform.
AI assistant
The chatbot retrieves prior call summaries, ticket status, notes, and session history via natural language. If this fault has appeared before, that record surfaces before the call starts. Not a perfect substitute for experience, but a useful one when the relevant experience is documented in the platform.
Activity notifications
Users are notified of ticket changes since their last login. Missed calls are tracked and logged — they don't disappear into an inbox. Escalations and responses surface rather than waiting for someone to check manually.
Supported headsets
ContinuumAR runs on Android-based industrial AR headsets: the RealWear Navigator 500, Navigator 520, HMT-1, and the Six15 ST1-RA. Not smartphones, not tablets. The APK is deployed and managed via RealWear Cloud.
99.9%
Platform uptime
24/7
Support
5 min
Device setup time

Questions we get asked

How quickly can an expert actually be on the fault?+
Once the technician has a ticket open on their headset, initiating the call is one voice command. The expert connects from their browser and receives the live feed within seconds. The limiting factor is whether the expert is available, not the platform itself.
What does the AI assistant actually retrieve?+
Prior call summaries, ticket notes, status history, and call details — via natural language. If this fault has been resolved before, the expert can surface that record before the call rather than starting the diagnosis from nothing.
What's in the session record after a call?+
Call recording, transcript, all snapshots taken, completed checklist, and ticket status history. Tickets can be exported to CSV or printed as a PDF. This record is useful for root cause analysis and for avoiding duplicate diagnostic work on the same fault.
Can this work across multiple facilities?+
Yes. Multi-domain administration means one admin account can manage users, devices, and tickets across multiple sites. Cross-domain user import and export is supported. The same expert can handle escalations from any domain they're assigned to.
What headsets does it run on?+
The RealWear Navigator 500, Navigator 520, HMT-1, and the Six15 ST1-RA. Android-based industrial AR headsets only — not smartphones or iOS. The remote expert connects from a Windows browser.

Talk to our team

Tell us about the equipment and fault patterns that are costing you the most time. We'll walk you through what ContinuumAR looks like in that specific context — not a generic product tour.

We'll get back to you within one business day.

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