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Other Disclosures5255Monstarlab Inc.Information and Communications, Services and Others

Monstarlab launches "TakumiRebuild AI," an AI solution supporting the transfer of technical expertise in the manufacturing industry

モンスターラボ has begun providing TakumiRebuild AI, which uses AI to codify the judgments and know-how of experienced workers at manufacturing sites into rules and supports the transfer of technical skills and the standardization of decision-making. Existing proofs of concept for major manufacturers have also shown improvements in agreement with experienced workers’ judgments and reductions in required work hours.

Worth reading
62In focus
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Direction
Improvement
Direction inferred from the company’s description.
Scale
—
Displayed only when the document provides numerical figures.
Wording
Conditional
How definitive the wording is.

Announced details

TakumiRebuild AI
Applicable field (uses covered by this announcement)

Skills transfer in manufacturing; codification of experienced workers’ judgments; logistics allocation operations; DX for skills and knowledge

Launch date20 October 2026 (service launch; actual)
What the company reported numerically
Quantitative Effects

Agreement with experienced workers’ judgments: improved from approximately 50% to approximately 85%

Work hours required of experienced workers: reduced to approximately one-third

Usage history

Effectiveness confirmed in a proof of concept for a major manufacturer (company name and number of cases not disclosed)

In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.

Source (materials cited by the company)

Ministry of Economy, Trade and Industry, Ministry of Health, Labour and Welfare, and Ministry of Education, Culture, Sports, Science and Technology, 2026 White Paper on Manufacturing

Announced details
ItemDetails
Names of Products / Services CoveredTakumiRebuild AI
Launch date20 October 2026 (service launch; actual)
Applicable areaSkills transfer in manufacturing; codification of experienced workers’ judgments; logistics allocation operations; DX for skills and knowledge
Quantitative EffectsAgreement with experienced workers’ judgments: improved from approximately 50% to approximately 85%, Work hours required of experienced workers: reduced to approximately one-third
Usage historyEffectiveness confirmed in a proof of concept for a major manufacturer (company name and number of cases not disclosed)
SourceMinistry of Economy, Trade and Industry, Ministry of Health, Labour and Welfare, and Ministry of Education, Culture, Sports, Science and Technology, 2026 White Paper on Manufacturing
Items this document does not state (12)
CounterpartyCounterparty overviewRelationship with the CompanyContract ValueOffering priceContract DateAward/certification nameAwarding / certifying bodyRegistration number and expiry dateLocationLocation scaleImpact on Business Performance

These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.

The reasons the company gives

The company's own explanation, not something inferred from the numbers.

Manufacturing companies face challenges including a shortage of instructors, disruption to skills transfer caused by experienced workers retiring or changing positions, inconsistent decision-making and dependence on external vendors.

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Monstarlab launches "TakumiRebuild AI," an AI solution supporting the transfer of technical expertise in the manufacturing industry | Monstarlab Inc. (5255) timely disclosure | Komori