PM Targeting Agent
Finds the right PM for the right asset at the right time, using manuals, PM history, work orders, and technician notes.
Twintivo uses AI to reduce unplanned downtime by targeting the right PMs and making sure the right parts are ready before failure.
Twintivo is not a CMMS clone. It is an AI-native layer that helps the existing maintenance team decide what to do next.
Finds the right PM for the right asset at the right time, using manuals, PM history, work orders, and technician notes.
Checks the parts, kits, quantities, and stock risks needed before a failure turns into a long stop.
Builds machine memory from manuals, prior fixes, notes, photos, PMs, parts, and work order history.
Turns machine memory into a short job brief: what to inspect, what changed before, and what parts to bring.
Keeps humans in control before work orders, PM changes, or purchasing actions move forward.
Plant knowledge becomes machine memory. Machine memory becomes PM targeting, parts readiness, and a technician brief.
Twintivo connects the asset to the maintenance knowledge around it: manuals, PMs, prior fixes, spare parts, and technician notes. The output is a clear plan a manager can approve.
Twintivo works alongside the tools the plant already runs. It does not ask a maintenance team to replace its CMMS or ERP to get value.