Maintenance knowledge retrieval
Find approved procedures and past work orders for the correct asset and revision. Distinguish a recorded repair from a suggested next step, and retain the author and date of the source.
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Ways to work with us
Agentic AIAgentic workflows that do real workSee what agents can runIndustries
AI in manufacturing is useful when it can distinguish one machine, product revision and production run from another. dplyz connects operational records so people can find the evidence they need without searching every system separately.
ManufacturingConnected operationsThe operating reality
A maintenance note without the asset identifier or operating context can send someone in the wrong direction. We preserve those links when making manuals, work orders and shift records searchable. The original evidence stays available beside a generated summary.
Find approved procedures and past work orders for the correct asset and revision. Distinguish a recorded repair from a suggested next step, and retain the author and date of the source.
Bring open issues, completed work and follow-up tasks into a draft handover. Highlight missing readings or unresolved items rather than filling gaps with an assumed explanation.
Collect inspection records and supplier documents for a lot or part. Flag mismatched identifiers and incomplete evidence before a quality reviewer signs off.
An illustrative workflow
An operator records an issue near shift change. The workflow links the asset, recent work orders and the operator’s notes, then prepares a handover with the open questions. The incoming team can inspect the exact records and see who owns the follow-up.
A focused first release
Start with maintenance records for one asset family. Build the evaluation around recurring questions and known look-alike parts before extending it across the plant.
These knowledge and reporting workflows can begin with approved read-only records. Control-system changes require a separate scope and the plant’s engineering process.
Yes, if their revision and applicability can be identified. Superseded material should remain clearly marked and should not appear as the default instruction.
Bring us a real process, the systems it touches and the result your team needs.