AISI∀'s Full-Scale Launch of Its AI Business

「The AI business provides “KENZ,” a drawing review AI for manufacturers. KENZ aims to resolve challenges in manufacturing design operations, including improving design quality, transferring technical expertise and addressing labour shortages, by using AI to automate and streamline drawing review and converting the drawing review expertise accumulated by experienced engineers into a knowledge base. The company is strengthening the product by actively incorporating on-site needs through PoCs with customer companies and is developing new products and services to enhance and streamline design operations beyond drawing review. Revenue for the cumulative interim consolidated accounting period was ¥50.786 million, up 223.5% year on year, while the segment loss was ¥5.103 million, compared with a segment loss of ¥16.391 million in the same period of the previous year.」

「The AI business has so far automated visual inspection using AI image recognition technology based on the deep-learning anomaly detection system “AISIA Anomaly Detection.” From the first quarter of the current fiscal year, the company has been gradually shifting business resources toward providing services using generative AI. It launched its AI agent business in April 2025 and announced the release of the drawing review AI “KENZ” in May of the same year. Both services have generated numerous enquiries as services that automate work and transfer tacit knowledge, starting with engineering functions in manufacturing. The company began full-scale sales activities from the third quarter and continues to strengthen its development structure.」

「In April 2025, we launched our AI-agent business, and in May of the same year announced the release of inspection AI “KENZ.” Both services are receiving substantial customer inquiries as solutions originating in the manufacturing engineering field that automate operations and preserve individual expertise. We began full-scale sales activities in the third quarter and will continue to strengthen our development structure.」

「The AI business has so far automated visual inspection using AI image recognition technology based on the deep-learning anomaly detection system “AISIA Anomaly Detection.” From the current interim consolidated accounting period, the company has been gradually shifting business resources toward providing services using generative AI. It launched its AI agent business in April 2025 and announced the release of the drawing review AI “KENZ” in May of the same year.」

「To achieve its full-year targets, the company will steadily complete additional implementation projects for existing customers, accelerate the rollout of new solutions using generative AI in addition to image recognition technology, and work to resolve operational issues at manufacturing sites.」

「During the cumulative first quarter of the current fiscal year, the number of simple validation projects enabling customers to assess the feasibility of AI implementation increased substantially from the previous fiscal year. The company also established prospects for a second-line implementation project at an existing customer’s production site.」

「During the fiscal year, the company had expected orders related to expansion by existing customers, but performance verification and related consideration took longer than expected. It also began handling RUTILEA’s AI visual inspection system “Image Pro” in October 2023 to make it easier for customers to verify accuracy. Although the number of enquiries increased significantly, revenue was ¥37.188 million, down 44.8% year on year, and the segment loss was ¥42.862 million, compared with a segment loss of ¥14.155 million in the previous fiscal year.」

「During the cumulative third quarter, the company steadily accumulated new projects, but customers took longer to consider implementation. It also began handling RUTILEA’s AI visual inspection system “Image Pro” in October 2023. As a result, revenue was ¥24.617 million, down 11.8% year on year, and the segment loss was ¥36.858 million, compared with a segment loss of ¥25.031 million in the same period of the previous year. The company will secure the number of projects necessary to achieve its targets by demonstrating the feasibility of AI-based visual inspection.」

「In the AI business, customer consideration of implementation has taken longer than expected for validation work scheduled during the cumulative second quarter. As a result, revenue for the period was ¥21.919 million, up 17.5% year on year, and the segment loss was ¥19.442 million, compared with a segment loss of ¥20.850 million in the same period of the previous year. The company will secure the number of projects necessary to achieve its targets by demonstrating the feasibility of AI-based visual inspection.」

「In the AI business, validation work scheduled for the cumulative first quarter was postponed. As a result, revenue for the period was ¥8.128 million, down 49.0% year on year, and the segment loss was ¥8.212 million, compared with a segment loss of ¥6.218 million in the same period of the previous year. The company will secure the number of projects necessary to achieve its targets by demonstrating the feasibility of AI-based visual inspection.」

「During the fiscal year, the company conducted numerous PoCs (proofs of concept) toward live operation, with some projects reaching final validation. It will continue accumulating knowledge and experience and updating its products to meet the high quality standards demanded by Japanese companies. As noted above, projects toward live operation are progressing smoothly, and AI business revenue for the fiscal year amounted to ¥67.366 million, up 254.9% year on year, while the operating loss was ¥36.749 million, compared with an operating loss of ¥98.030 million in the previous fiscal year. As several projects are expected to move into live operation during the following fiscal year, the company will work to monetise the business at an early stage.」

「Going forward, the company will continue accumulating knowledge and experience in live operations and updating its products to meet the high quality standards demanded by Japanese companies. As a result, AI business revenue for the cumulative third quarter amounted to ¥27.906 million, up 132.7% year on year, while the operating loss was ¥43.068 million, compared with an operating loss of ¥82.552 million in the same period of the previous year.」

「As a result, AI business revenue for the cumulative second quarter amounted to ¥18.661 million, up 191.6% year on year, while the operating loss improved to ¥31.666 million from an operating loss of ¥54.893 million in the same period of the previous year.」

「“Aisia AD” has conducted numerous PoCs (proofs of concept) toward practical application in response to demand from manufacturers to automate visual inspections in production processes and improve inspection accuracy. From the second half of fiscal 2021, the company began obtaining results at a practically applicable level and also began development and implementation toward live operation.」

「As a new business, the company began selling the deep-learning-based anomaly detection system “AISI∀ Anomaly Detection (Aisia AD)” in October 2018. In response to companies’ needs to automate visual inspections, it is advancing development toward full-scale implementation while conducting multiple PoCs (proofs of concept). Proposal and implementation have become a business requiring comprehensive capabilities through collaboration with vendors of cameras, lighting and factory equipment.」

「As a new business, the company began selling the deep-learning-based anomaly detection system “AISI∀ Anomaly Detection (Aisia AD)” in October 2018. In response to companies’ needs to automate visual inspections conducted at factories, it is conducting multiple PoCs (proofs of concept) toward implementation and successively resolving issues ahead of full-scale deployment. Development is being carried out in cooperation with various companies, not only customer companies such as camera and production-line manufacturers.」

「As a new business, the company began selling the deep-learning-based anomaly detection system “AISI∀ Anomaly Detection (Aisia AD)” in October 2018. In response to companies’ needs to automate visual inspections conducted at factories, it is conducting multiple PoCs (proofs of concept) toward implementation and successively resolving issues ahead of full-scale deployment. Development is being carried out in cooperation with various companies, not only customer companies such as camera and production-line manufacturers.」

「The company’s AI business is moving from the technology validation stage toward implementation on full-scale production lines.」

「The company has received enquiries from many companies about whether it can replace visual inspections conducted at factories, and is working to strengthen the product and improve its solution capabilities while accumulating expertise through project work. Development is being carried out in cooperation not only with customer companies, such as camera and production-line manufacturers, but also with various other companies.」

「The company is currently conducting PoCs (proofs of concept) with customers toward implementation. Development is being carried out in cooperation not only with customer companies, such as camera and production-line manufacturers, but also with various other companies.」

「The company has received enquiries from many companies about whether it can replace visual inspections conducted at factories, and is strengthening the product and improving its solution capabilities while accumulating expertise through project work.」

「As a new business, the company began selling the deep-learning-based anomaly detection system “AISI∀ Anomaly Detection (Aisia AD)” in October 2018. From the current fiscal year, it has integrated this business with its ERP business and is expanding its AI business for manufacturers using the operational expertise accumulated through its ERP business. It has received enquiries from many companies about whether the system could replace visual inspections conducted at factories, and is strengthening the product while accumulating expertise through project work.」

「The company began selling the deep-learning-based anomaly detection system “AISI∀ Anomaly Detection (Aisia AD)” in October 2018. From the current fiscal year, it has been expanding its AI business for manufacturers as part of the ERP and AI business, using the operational expertise accumulated through its ERP business. It has received enquiries from many companies about whether the system could replace visual inspections conducted at factories, and is strengthening the product while accumulating expertise through project work.」

「In October 2018, we also began selling the deep-learning anomaly detection system "AISI∀ Anomaly Detection (AIsia AD)." From the first quarter of the current fiscal year, we began expanding our AI business into the manufacturing sector as part of our ERP and AI business, using the operational expertise accumulated through our ERP business as a competitive advantage.」

「The company also released a new cloud service, “AISI∀ Design Recognition (Aisia DR),” which uses AI image recognition to convert images of existing system screens into design data. As its third offering, it began selling the deep-learning-based anomaly detection system “AISI∀ Anomaly Detection” on 24 October 2018. The system uses AI to make judgments in place of visual inspections by people, has received a strong response and generated numerous enquiries. The company believes it can develop the business into a core business and strengthened its organisation by establishing a dedicated “AI Solutions Department” on 3 December 2018. As its fourth offering, it plans to launch within the current fiscal year “AISI∀ CompanyList,” a company information search service announced on 19 April 2018 in which AI collects corporate information.」

「As its fourth offering, the company announced the deep-learning-based anomaly detection system “AISI∀ Anomaly Detection” in October 2018 and plans to begin selling it on 24 October 2018.」

「As its third offering, the company announced “AISI∀ CompanyList,” a company information search service in which AI collects corporate information, and is currently developing the next offering.」

「The company regards artificial intelligence (AI) as the most important technology for future business development and has formed two specialist AI teams from the current fiscal year to pursue the AI business in earnest. The company’s concept name for artificial intelligence is AISI∀ (Aisia). As its first offering, it made “AISI∀ FlowerName,” an AI service that tells users the names of flowers, available on its website, followed by the release in March 2018 of “AISI∀ DesignRecognition,” an AI tool that recognises screen designs and reverse-generates design data.」