Voice-first capture.
Push-to-talk, in the worker's own language. Speech becomes a structured event with machine, type, and severity already filled in, and a worker is back to the line in under 30 seconds.
A worker flags a task or problem in under 30 seconds instead of a phone call or a paper form. AI triages and assigns it before a supervisor even looks up. Every fix gets logged, so the next worker doesn't start from zero. For a factory: fewer stalled lines, faster fixes, and knowledge that survives when someone leaves.
Book a 30-min callFree pilot on one line or one shift.
“Loud grinding near the spindle on CNC-14, sounds like a bearing.”
PRODUCT PREVIEW · PRIVATE PILOT 2026
Every dispatch and coordination tool in use today, CMMS, basic ERP modules, was built decades ago to manage humans only. None of it was built for a floor where AI agents, and eventually robots, are showing up alongside people.
lost per month to dispatch inefficiency
of field service dispatches are unnecessary
cost of a paper-based defect process
Zoviti is a fieldOS: one coordination layer built for all three worker types, not just the humans.
Push-to-talk, in the worker's own language. Speech becomes a structured event with machine, type, and severity already filled in, and a worker is back to the line in under 30 seconds.
Urgency gets classified, duplicate reports get caught, and the job is matched to the best available worker by skill and location, before a supervisor even looks up.
Every resolved job feeds a searchable troubleshooting index. The fix a senior technician knows on day one is available to every worker by week two.
Zoviti runs the same five-stage loop for every event, worker-facing on mobile, supervisor-facing on the dashboard.
Every stage above is inspectable, not a black box, and escalates on its own if a job goes untouched.
Everyone on the floor gets the view they need, not a shared spreadsheet everyone half-fills-in.
A fast, hands-free way to log defects, downtime, and production counts without stopping physical work.
Real-time visibility across a shift, and a chance to catch problems before they cascade.
Access to troubleshooting knowledge that today lives only with specific senior staff.
Data-driven visibility into where defects and delays actually happen.
Contract manufacturers and job shops feel this hardest today, faster decision cycles than large OEMs, and manufacturing is where the build starts. The same coordination gap runs through construction, maintenance, and fleet operations.
CMMS and ERP modules dispatch and track humans. Zoviti is built for a floor where an AI agent triages work and, eventually, robots execute some of it too, on top of the same event log your team already generates by voice.
Modern speech models handle real floor noise well, but no transcription is infallible, so the design doesn't assume it gets things right. Every submission goes through a mandatory confirm screen with editable fields before it's logged, not just as a fallback on low-confidence transcriptions.
The job goes to an explicit "Unassigned" state with a supervisor alert. Nothing fails silently, and a job assigned but untouched past a threshold auto-escalates too.
Yes, by design. Voice recording is built to run offline: it records locally, queues, and syncs the moment connectivity returns. Real dead zones on factory floors shaped the design, they aren't an edge case bolted on afterwards.
Inside your own cloud tenant, isolated per facility. Your data never leaves your infrastructure or mixes with another customer's.
We're taking on early pilots now. Book a 30-minute call and we'll scope the right fit for your line or shift, starting with one line rather than the whole plant.
Book 30 minutes and we'll scope the right fit for your floor.
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