01 — Capture · The foundation layer of .expert

Your technicians' know-how
no longer lives only in their heads.

Every plant holds an enormous wealth of knowledge: manuals nobody reads, training videos nobody can find, procedures that exist only in the memory of the most senior technician. When they retire, that knowledge leaves with them.

.expert starts here: it captures every form of knowledge — written, spoken, seen, lived in the field — and turns it into an asset the AI can query. Without asking your technicians to become documentation writers.

The 4 sources of knowledge

Technical documents

OEM manuals, machine data sheets, electrical and hydraulic diagrams, safety procedures, maintenance checklists, service sheets. PDF, Word, Excel, CAD: everything goes into the system, nothing stays in drawers.

Intervention videos

Footage shot in the workshop or in the field, MES screen recordings, training recordings, videos of real failures. .expert indexes them by machine, component and type of anomaly.

Field technicians' voices

The senior technician describes what they are doing while they do it: automatic transcription turns it into a procedure. No extra time taken from the job, no forms to fill in at the end of the day.

Photos and notes from the field

Smart glasses or a smartphone capture visual evidence of a failure, an anomaly or a solution applied. It becomes part of the knowledge linked to that machine, for good.

From collection to structured knowledge

4 steps to turn noise into knowledge.

  1. 01

    Extraction

    Automatic audio/video transcription, OCR on diagrams and photos, parsing of PDF and CAD files. Even the most awkward content becomes structured text.

  2. 02

    Structuring

    Each piece of content is linked to the machine, the component and the type of intervention. A common language for the whole plant.

  3. 03

    Indexing

    On-premise vector database. Semantic search: the technician asks in natural language, the AI finds the right answer among thousands of documents.

  4. 04

    Governance

    Versioning, access control, audit trail. You always know who contributed what, and when. Know-how becomes a traceable asset.

The result

A living memory of your plant: every machine, every intervention, every solution found over the years — all available in natural language, in front of the machine, in the office or on the move. And every new intervention makes it grow.

Knowledge asset

Knowledge as a business asset.

01

Intangible assets

Your operators' technical expertise becomes a measurable, transferable asset. No longer at risk from staff turnover or retirements.

02

Generational change

Young technicians gain immediate access to the experience of their senior colleagues. The gap between senior and junior staff narrows.

03

Faster training

Aida knows every machine, every recurring anomaly, every procedure. New hires have an expert mentor at their side from day one.

continuous improvement
The virtuous circle
  1. 1
    Field intervention
  2. 2
    Data acquisition
  3. 3
    Aida updates itself
  4. 4
    A better answer
  5. 5
    Value grows