Sompo and NTT Study Care Robots for Cleaning and Support Tasks

NTT announced on November 12, 2026 a partnership agreement with Sompo Holdings to promote real-world deployment of physical AI in nursing care. Signed on November 11, 2026, the agreement launches a study of how robots and connected systems could reduce caregiver workloads while maintaining user-centered care in Japan.

The companies are addressing a labor shortage on nursing-care front lines as Japan moves toward a super-aging society, a shortfall the release expects to intensify. The care objective is to sustain services by maintaining or improving user-centered quality while easing caregivers’ workloads. Here, physical AI covers cameras, sensors, robots and connecting systems that perceive physical spaces, make decisions from that information and perform physical tasks.

Collaboration Study Covers Deployment and Operations

The first phase is a collaboration study to identify frontline nursing-care challenges and priority use cases. The partners will then consider operating and service models built around cooperation between people and physical AI, as well as a path from research and development through demonstrations, deployment, operation and continuous improvement to commercialization.

The companies will also examine demonstration methods, operational frameworks and ways to collaborate with physical AI business operators so the technology can be used safely and continuously. The announcement treats deployment as an integration task spanning data, operational design, operations, maintenance and security, alongside technology development. That places day-to-day reliability and facility processes within the partnership’s scope from the outset.

Sompo’s Care Operations and NTT’s Infrastructure

Sompo Holdings will contribute consumer insights from providing nursing-care services, operational knowledge of care front lines, and expertise in service-quality improvement, frontline reform and deployment. NTT will contribute secure communications and security expertise, platforms that connect different devices and systems, and operational capabilities developed for social infrastructure.

Specific efforts will be coordinated through each company’s group companies, with external partners included where necessary. The arrangement is designed to connect frontline care requirements with the communications, integration and operational systems needed for continuous physical AI use.

Initial Tasks Focus on Indirect Support

Initial target use cases cover cleaning, laundry, preparing and clearing meals, and transporting items. These are indirect operations around the care environment; direct physical care of users is not part of the initial target set. That gives the study a defined workload category while leaving the specific frontline applications to be substantiated under the agreement.

Several decisions still sit ahead of commercialization. The companies will define target use cases, implementation frameworks and demonstration plans, as well as arrangements for data, intellectual property and each side’s commercialization role. They will also consider adding more physical AI business operators to the partnership.

Under the agreement, the companies will consider expanding any resulting implementation model from nursing-care front lines to other care operators and domains of daily life. The immediate consequence is a deployment program organized around routine support work and operating requirements, with commercialization dependent on turning those tasks into services that reduce caregiver workload while sustaining care quality.