Manufacturing DX · AX Solution

buildsthe first layer of measurementtogether with you

We turn losses and gains that used to go unseen into digital signals, step by step — and let AI make the manufacturing floor predictable.

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If it isn't measured,
losses stay invisible.

Unrecorded process data, unstandardized problem-solving routines, decisions tied to a veteran's tacit knowledge — all three repeat across every manufacturing site, never quite getting priced into the books.

  • Data that's neither measured nor entered

    Unrecorded processes

    If measurement never happens in the first place, no data is ever left behind.

  • Information left on paper or spoken aloud

    Floor records that evaporate

    Paper documents go unsearched and get lost; verbal reports disappear along with memory.

  • Tacit knowledge that walks out with veterans

    Know-how tied to individuals

    How a veteran solved a problem stays with the person, not the company — and leaves the moment they do.

Manufacturing DX · AX Solution

Every piece of data generated on the line, turned into
a measurable asset.

From operator checks to machine signals to quality results — we unify scattered data into a single operating layer and stack analytics and prediction on top, step by step.

Phased digital transformation

We don't change everything at once.
We stack Measure → Analyze → Predict, in that order.

  1. 01PHASE 1

    Measure

    Turn unstructured data into structured data

    Convert paper forms and verbal records from each process into data, and load them as data that can actually be used, not just stored. Information once scattered across paper and chat is aligned to a single source of truth.

    • Digitization of paper forms by process
    • Collection of equipment signals and numeric data
    • Automatic logging of quality and defect data
  2. 02PHASE 2

    Analyze

    Find losses in accumulated records

    As process data accumulates, teams can monitor the floor in real time from the office and quantitatively compare time spent on processes and issue handling. Repeating patterns and deviations from the average become visible in the data.

    • Real-time operations dashboard
    • Issue timeline and handling-time analysis
    • Raw material and output trend reports by process
  3. 03PHASE 3

    Predict

    Apply AI on top of accumulated data

    Using accumulated structured data, the system immediately suggests similar past cases when a new issue occurs and detects anomalies in raw materials and processes in advance. Voice and image recognition also reduce data-entry workload on the floor.

    • Automatic matching of similar issues
    • Early warnings for quality anomalies
    • AI daily operating reports
DP Builder

Lock in the project's first agreement
on a single canvas.

DP Builder is a collaboration canvas that turns ambiguous pre-sales conversations into a structured workflow. Customer requirements become visual nodes, customer and vendor draw the flow together on the same screen, and scope and intent align precisely before work begins.

  • Requirements as a pictureScattered documents and chat threads are structured into input, processing, and integration nodes.
  • Agreement on a single screenCustomer and vendor draw together on the same canvas and speak with the same vocabulary.
  • Straight into the specThe agreed flow becomes the spec itself, removing the cost of reinterpretation after kickoff.
Expected Impact

Once data accumulates, losses shrink
and decisions speed up.

  • 83%
    Faster issue detection
    30 min → within 5 min (target)
  • 0hr
    Office re-entry
    5 min → 0 min per item (target)
  • 10+
    Measurable operating metrics
    Versus pre-adoption
  • Up to 72%
    Estimated loss recovery rate
    Recover up to 72% of estimated losses (target)

These figures are targets at the end of the pilot operation period and will vary depending on process characteristics and data maturity.

Talk to us

Ready to discuss
manufacturing DX / AX adoption?

We design a staged adoption scenario that matches your current data maturity. We typically reply within three business days.

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