Knowledge AI

Knowledge AI stores manuals, drawings, past cases and workplace conversations, letting you ask questions and view answers with source documents. It supports decisions on the spot without starting with a search.

Turn experienced staff's know-how into usable workplace knowledge.

See potential causes, recommended actions and work procedures alongside their source documents, without having to begin by searching.

Knowledge AI screen showing question history, AI answers, source documents, potential causes and work procedures

Ask a question

Ask using text, audio recordings or photos, without starting with a search.

AI searches and analyzes

The system suggests potential causes, recommended actions and work procedures from stored documents and cases.

View the source documents

Review manuals and past cases alongside the answer, keeping the basis for your decision visible.

The knowledge you need is scattered across people and documents.

When questions concentrate on particular people and opening folders does not lead to the right procedures, the issue is often where knowledge resides, rather than a lack of documents.

Frequent questions for experienced staff

Equipment problems and decisions repeatedly lead to questions for the same people.

Time-consuming document searches

Scattered manuals and past cases make needed information difficult to find quickly.

Delayed troubleshooting

When equipment malfunctions, time is spent searching for procedures and similar cases.

Procedures depend on individuals

Inspection methods and decision criteria remain with individuals, and training new staff takes time.

Build knowledge without major changes to existing operations.

Start with recorded conversations and existing PDFs, Excel files and drawings, without adding special data-entry tasks.

Support workplace decisions, from equipment maintenance to training.

One platform can provide initial answers for equipment problems, procedure checks, similar cases, technical knowledge transfer and questions across locations.

Equipment troubleshooting

Identify potential causes and recommended actions from unusual noises, leaks, errors and other symptoms.

Checking work procedures

Refer to inspection and replacement procedures on the spot, together with source documents.

Searching past fault cases

Quickly find similar cases from past response records.

Technical knowledge transfer and new-staff training

Retain experienced staff's decision criteria and shorten the initial stages of training.

Workplace Q&A and technical consultation

Provide initial answers to on-the-spot questions using accumulated knowledge.

Sharing information across departments and locations

Access knowledge scattered across locations through the same system.

Return checking and search time to your core work.

We measure results by time previously spent checking, searching, restoring operations and training—not simply by whether AI was introduced.

Time spent consulting experienced staff

Retain answers and their basis so that every decision does not require asking someone.

Approx. 70% reduction / 100 hours per month → 30 hours per month

Document and case search time

Search across scattered documents and navigate to the required pages.

Approx. 83% reduction / 30 minutes per case → 5 minutes per case

Time to recover from problems

Immediate access to similar cases and procedures reduces uncertainty in the initial response.

Faster recovery / Average 120 minutes → average 60 minutes

New-staff training period

Retain procedures and decision-making patterns to support training beyond on-the-job instruction alone.

Significantly shorter / Approx. 6 months → approx. 3–4 months

We build AI tailored to your operations that people can actually use at work.

We aim for answers grounded in your drawings and past responses, rather than a general-purpose chat service.

AI design informed by manufacturing

We build around your documents, workflows and decision criteria to make the system useful for your company.

Technical expertise grounded in workplace operations

We work with you from identifying manufacturing challenges to proposing practical uses.

Improve accuracy after implementation

We continuously improve answer accuracy and how knowledge is used after operations begin.

Support tailored to your operations, from discovery to improvement.

We help with practical use throughout the process, from selecting target operations to importing documents, workplace trials and improvements.

  1. Understanding workplace challenges

    We identify target operations, document locations and frequently asked questions.

  2. Current-state assessment and requirements

    We define users and use cases, then specify the documents to import and the form of answers.

  3. AI system development and testing

    We verify accuracy with real data and make the system usable in the workplace before expanding it.

  4. Operational launch and improvement support

    From small deployments for individual tasks to entire factories, we improve accuracy during operation.

Frequently Asked Questions

What documents can be imported?
PDFs, Excel files, drawings, past cases and manuals can be used. We first check document formats and volume, then organize them into searchable units.
Can users check the basis for an answer?
Yes. We display referenced documents alongside answers so users can verify their sources. We design operations so that people check important decisions.
Can answer accuracy be improved after implementation?
Yes. We evaluate actual questions and answers, add missing documents and adjust search settings and response methods. Improvements are based on human review, rather than relying entirely on automatic learning.

Turn questions for experienced staff and document searches into usable workplace knowledge.

Start with existing manuals and conversations. We discuss the target operations and propose an approach.