Announced details
Manufacturing sites in the manufacturing industry. The service is expected to expand in the future to other industries where robot-based automation and labor reduction are needed.
More than 35,000 AI models have operated on Impulse cumulatively since its release in 2014
The company has accumulated technology and expertise through proofs of concept, development and field implementation with manufacturing companies and partner companies. Individual counterparties and capital relationships are not disclosed.
Trademark registration No. 5472937, registered in March 2012. The expiration date is not disclosed.
Minato-ku, Tokyo (head office)
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | Physical AI Field Implementation and Robot Deployment Support Service, Impulse |
| Relationship with the Company | The company has accumulated technology and expertise through proofs of concept, development and field implementation with manufacturing companies and partner companies. Individual counterparties and capital relationships are not disclosed. |
| Launch date | 28 August 2026 (service already launched) |
| Applicable area | Manufacturing sites in the manufacturing industry. The service is expected to expand in the future to other industries where robot-based automation and labor reduction are needed. |
| Registration number and expiry date | Trademark registration No. 5472937, registered in March 2012. The expiration date is not disclosed. |
| Location | Minato-ku, Tokyo (head office) |
| Usage history | More than 35,000 AI models have operated on Impulse cumulatively since its release in 2014 |
Items this document does not state (11)
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 sites are addressing labor shortages and improving productivity, but processes remain that are difficult to handle with conventional teaching methods or dedicated machines, including high-mix, low-volume production, variation in workpieces and their placement, and tasks requiring human judgment. In addition, stable operation of physical AI requires integrated planning covering not only the technology but also process selection, integration with existing equipment, safety, and operations and maintenance structures.