Tektome joins the ‘FY2026 Programme for Promoting DX in Building Administration’ run by Japan’s Ministry of Land, Infrastructure, Transport and Tourism

TOKYO, 14 October 2026: Tektome Inc. (Head office: Shibuya, Tokyo; Representative Director and CEO: Naoki Kitamura) announces its participation in the ‘Study on Promoting DX in Building Administration’ within the ‘FY2026 Comprehensive Programme for Promoting DX in Building Administration’ run by Japan’s Ministry of Land, Infrastructure, Transport and Tourism (MLIT), whose remit includes national building standards. In Japan, ‘DX’ is the widely used abbreviation for digital transformation.

In a notice dated 23 April 2026, MLIT informed Tektome’s affiliate, Incubit, Inc., that Incubit’s proposal for the Programme had been selected. The selected project is titled ‘Theme 4: Study on Promoting DX in Building Administration’.

About the Programme

The ‘FY2026 Comprehensive Programme for Promoting DX in Building Administration’ is an MLIT programme that aims to improve the efficiency and quality of the various tasks carried out by those who work in building administration, by supporting organisations whose initiatives help to unify building administration procedures and make reviews more efficient. Building administration refers to the statutory functions through which building plans are reviewed for compliance, and buildings are inspected, under Japan’s building regulations. FY2026 refers to the Japanese fiscal year running from April 2026 to March 2027.

The Programme invited proposals across several themes, and the project proposed by Incubit, Inc. (the ‘Project’) was selected under Theme 4, ‘Study on Promoting DX in Building Administration’.

The Project will build a clear picture of the potential for using AI in the building confirmation application process and of how far the technology has advanced to date. Looking ahead to the emergence of a wide variety of AI solutions, it also aims to use trials to establish benchmarks and an evaluation framework for comparing and evaluating the reliability of those solutions on a common basis. Building confirmation is the statutory review, required before construction can begin, of whether a building’s plans comply with Japan’s Building Standards Act. It is broadly comparable to Building Regulations approval in the UK and to plan review for a building permit in the US.

Specifically, the Project will trial AI tools that help make building confirmation review work more efficient, covering tasks such as reviewing documents against formal requirements, identifying the documents and sections that need to be examined, and verifying that drawings and application forms are consistent. It will also survey benchmarks for general-purpose generative AI and examples of AI performance evaluation in Japan and overseas, define evaluation criteria such as accuracy and explainability, then create benchmark metrics and a set of test questions for AI tools that handle building confirmation applications, and use them to assess the current performance of AI.

Tektome’s role

Within the Project, Tektome’s role is to identify the needs and challenges that practitioners face in building confirmation application and review work, through interviews with designated confirmation and inspection bodies. These are private-sector organisations designated by the national or a prefectural government to carry out building confirmation and inspections, and today they handle the large majority of building confirmations in Japan.

Specifically, as well as identifying the challenges practitioners face in current building confirmation application and review work based on 2D drawings, Tektome will set out the review items and work processes required in practice, and the needs relating to the use of AI, in preparation for BIM data review, which MLIT aims to introduce for building confirmation from spring 2029.

During the trials, Tektome will also help assess how applicable and useful the tools are in real review work, and use the comments and issues raised to develop and improve the evaluation framework and refine the test questions.

Next steps

Based on the needs and use cases identified through the interviews and other activities, the Project plans to carry out trials of AI tools designed to make review work more efficient and compile the results.

As its outputs, the Project will compile a draft proposal for the AI tools and the trial results, as well as a general-purpose set of benchmark questions and benchmark scores. The aim is for these to give private-sector review bodies and businesses a fair and transparent basis for properly assessing the performance and reliability of AI solutions.

The Project also aims to reduce oversights caused by human error, by using AI tools to detect inconsistencies between drawings and application forms and points where standards are not met, and to show the basis for each finding. In addition, making it possible to compare AI solutions against a common benchmark will make procurement decisions easier to explain and help avoid excessive dependence on any particular vendor.

By reducing the burden on both reviewers and applicants, improving the quality of reviews, and promoting the transparent evaluation and adoption of AI solutions, Tektome will contribute to making building administration more efficient and raising its quality.