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Design Knowledge AI

Turn scattered design knowledge into something you can draw on, with the evidence attached.

We make your past 2D drawings, defect reports, design specifications, and design review records searchable, summarizable, and comparable through a conversational AI. Every answer states its evidence — a reference back to the original document or drawing. This is not general internal document search: it is a build specialized for the documents and drawings of design.

Data you need to start: past drawings, defect reports, specifications, and similar material. Scattered or unorganized material is fine; if you need to start from organizing it, we guide you to Plan B.

What similar trouble has this part had in the past?

Related records were found

Evidence
Defect reportDesign review record

Symptoms this addresses

  • 01

    Asking someone has become faster than searching for past similar projects or defect reports.

  • 02

    Design decisions stall whenever the veteran engineer is away.

  • 03

    The same mistakes repeat across departments and across generations.

  • 04

    The reasoning behind past decisions leaves with each retirement.

How it works

An engineer asks in plain language, and the system answers across the related drawings, reports, and standards. Every answer carries a reference to its source, so verification and judgment stay with people. From the record of use it learns what gets asked most, and keeps raising its accuracy for your floor.

Where human judgment sits

Answers are input for a decision. The design judgment itself stays with the engineer.

Design Knowledge AI

What similar trouble has this part had in the past?

Related records were found

  • Loosening confirmed at the mount; fastening torque revised as the fix

    Defect reportTR-0482

  • Plate thickness flagged in a DR of a similar shape; reinforcing rib added

    Design review recordDR-1187

  • Missing chamfer note flagged on the same bracket type

    Drawing-check finding historyCK-0231

What you'll see in the demo

You put your own questions to a set of sample documents and see how the answers and their source references come back. You get a feel for how specific a question can be, and for how a reference leads back to the original document.

How a rollout proceeds

We use a gated approach: an initial assessment measures your current state, and the effect is confirmed at each stage before moving to the next phase.

  1. 01

    30 min

    Free consultation

    We ask which documents and drawings you hold, where they live, and in what formats.

  2. 02

    1–2 weeks

    Initial assessment

    We review the volume, quality, and format of the data, and estimate what can be made searchable.

  3. 03

    4–8 weeks

    Effectiveness validation

    We build with sample data and check the quality of the answers against real questions from the floor.

  4. 04

    3–6 months

    Floor integration and field validation

    We embed it in the daily work of one team and observe how it is actually used.

  5. 05

    6 months and beyond

    Ongoing accuracy improvement and sustained adoption

    Under a continuing engagement, we tune accuracy on real data from the floor, sustain adoption on the floor, and guard against the AI model's accuracy degrading over time.

  6. 06

    Progressively

    Expansion

    We widen the documents and departments covered, making it the foundation for other menus such as drawing check.

The scope and duration of the free validation, and the criteria for moving to a paid engagement, are set out in writing before we start.

Illustrative rollout

Whatever the field or the situation, we provide solutions that fit the way your floor actually works.

  • Automotive components

    When a design change is raised, troubles from past similar changes become searchable across the archive. Before the change is proposed, the team confirms with evidence what happened last time, and proceeds from there.

  • Industrial machinery

    When responding to an inquiry, the team refers at kickoff to the concepts, quotation rationale, and failure records of past similar projects, reducing the wait that came from having to ask a veteran first.

Security

We deliver configurations in which your drawings and documents are not used to train AI. On-premises and closed-network deployments, storage within Japan, and limiting the range of staff with access are all supported.

FAQ

In 30 minutes, let's work out together where your search time is going.

What we do in the 30 minutes

  1. We'll ask about your current challenges.
  2. We'll share relevant case studies.
  3. We'll align on an approach together.