Too much to know
More sites, more systems, more vintages than any one team could hold in their heads.
AI diagnostics in the technician's field of view. Hands free, right at the equipment. And when the job needs a human expert, they see exactly what the tech sees.
The bottleneck is never volume. It is getting expert judgment to the equipment, so the job is fixed right the first time and the return visit never happens.
More sites, more systems, more vintages than any one team could hold in their heads.
The seniors are retiring. Your new crew is sharp. They just have not seen it all yet.
Equipment down means product not sold. A rough site means bad press. Uptime is revenue.
Not at a desk. Not on a call. Everything the tech needs in one field of view: the job, the fix, the reading, and the paperwork. All where the hands already are.
The work order, the asset, the past fixes, the fault. In view before the first move.
Ask out loud. Get the step, cited to the manual or the fix that worked last time.
Sensor and building automation data against expected range, side by side with the diagnosis.
Dictate the closeout. Photos and readings attached. The paperwork writes itself.
Hey Jarvis, call an SME.Available across all four
One job. Four beats. Hands on the equipment the whole time.
The flow above is one job end to end. These are the four capabilities inside it, each on its own, recorded on the working build.
⟶ Recorded on the current field build. No renders, no mockups.
Pick the equipment that costs you the most in return visits, outside escalations, and training. Prove it there. The platform, and the knowledge it builds, carries to the rest.
Rooftop units, refrigeration racks, mechanical rooms. The comfort and cold chain systems that cannot go down.
Forklifts, conveyors, chargers, controls. The recurring faults that stall throughput.
The right procedure and context for every asset, across every site.
A short list of metrics, measured against your own baselines. The readout should make the decision obvious.
We read your work order history, name the assumptions, and lock the metrics for success.
We load your manuals, asset context, workflow, and the data connections the pilot needs.
Your technicians run real jobs and real faults. Support ownership settled up front.
Results next to baseline. A costed rollout plan, only when the data earns it.
Share of jobs closed on the first visit, and how fast. The SLA number your reputation lives on.
Return trips and outside escalations avoided when your on-site tech closes it. Hard dollars off the P&L.
Time for a tech to work a new equipment class on their own, at expert level. Your young crew, productive now.
⟶ Measured against your baselines, agreed before day one.
No rip and replace. Your data stays yours. The pilot is scoped around the systems, access, boundaries, and ownership you already run on.
Computerized maintenance management system (CMMS) records, asset history, manuals, and live readings. Connected through the pilot workflow.
Role based access, single sign on (SSO), and device management. Mapped during scoping, not after.
Your knowledge stays yours. Boundaries, cited sources, and retention set before a single job runs live.
Data flows, support, onboarding, and success metrics. Agreed before the first job.
Security, identity, retention, integration, deployment. Confirmed before a technician ever puts the glasses on.
Display in the line of sight, hands on the work. This is the current field build, running today on real hardware. Not a render.
You bring one equipment class, a cohort, and the metrics that matter. We bring the working product and the pilot plan. Together we prove that every work order gets your best technician.
Tell us what your technicians maintain. We walk one real job on your equipment, in your building, and map the path from there.