Telexistence Selected as First Japanese Member of the Entity AI Accelerator Program by AWS, NVIDIA, and MassRobotics

Telexistence Selected as First Japanese Member of the Entity AI Accelerator Program by AWS, NVIDIA, and MassRobotics

Telexistence Selected for the 2026 Physical AI Fellowship Program

Telexistence (TX) has announced that it has been selected to participate in the second cohort of the Physical AI Fellowship, a virtual accelerator program designed to support emerging robotics innovators. The initiative was launched through a collaboration between Amazon Web Services Startups and NVIDIA Inception to assist promising robotics startups in building, optimizing, and scaling advanced physical AI technologies. The fellowship program focuses on accelerating companies that are developing real-world robotics solutions capable of transforming industries through intelligent automation.

The 2026 cohort follows the successful launch of the inaugural program in fall 2025 and includes nine robotics startups from around the world. These companies represent a wide range of sectors where physical AI can have a significant impact, including agriculture, construction, renewable energy, industrial automation, retail operations, logistics, and humanoid robotics. Among the nine selected companies in the 2026 program, TX stands out as the first and only company from Japan to be chosen, marking an important milestone for the country’s robotics innovation ecosystem.

Global Program Supporting Next-Generation Robotics

The Physical AI Fellowship is designed to accelerate the growth of startups that are building intelligent robots capable of performing tasks in real-world environments. The program provides participants with direct access to advanced computing infrastructure, expert mentorship, and global industry exposure. Through this initiative, robotics companies can refine their technologies, enhance performance reliability, and move closer to commercial deployment.

Participants receive tailored support aimed at helping them transform promising prototypes into scalable and commercially viable systems. This support includes deep technical collaboration, performance optimization guidance, and opportunities to showcase technologies to global technology partners and customers. By providing startups with a structured environment and high-level technical resources, the fellowship aims to bridge the gap between robotics research and large-scale industrial implementation.

The 2026 cohort also highlights the growing importance of physical AI, a field that combines robotics hardware, artificial intelligence, and real-world operational data to enable machines to perform complex physical tasks autonomously. With industries around the world facing labor shortages and increasing operational complexity, such technologies are becoming critical tools for maintaining productivity and resilience.

Technical Resources and Expert Guidance

Through its participation in the Physical AI Accelerator Program, TX will receive extensive technical and strategic support aimed at accelerating the development of its robotics solutions. This support includes one-on-one guidance from industry specialists, access to high-performance computing infrastructure, and collaborative opportunities with experts across the global robotics and AI ecosystem.

The company will also benefit from the expertise of scientists and engineers at the AWS Generative AI Innovation Center, which provides specialized guidance for companies developing advanced AI solutions. In addition, TX will receive cloud credits from Amazon Web Services and computing resources from NVIDIA to help train and optimize AI models used in its robotics platforms.

Another key component of the program is access to the facilities and robotics innovation ecosystem of MassRobotics. This global robotics hub offers testing platforms, research infrastructure, and connections with a large community of robotics developers, researchers, and industry partners. Through this network, participating companies can accelerate product validation and gain valuable insights into real-world robotics deployment.

The combined support of these organizations is expected to help TX refine its robotic systems and bring more stable, reliable, and practical automation technologies to market.

Advancing Foundational Robot Models

Participation in the accelerator will enable TX to accelerate the development and deployment of foundational robot models capable of operating seamlessly with real-world robotic systems. These models integrate advanced artificial intelligence with physical hardware, enabling robots to perceive environments, manipulate objects, and complete tasks autonomously.

By leveraging the AI and cloud infrastructure provided by Amazon Web Services along with the physical AI computing framework of NVIDIA, TX aims to strengthen the intelligence and performance of its robotics solutions. At the same time, access to testing platforms and collaborative networks through MassRobotics will allow the company to evaluate its systems in realistic operational environments.

The company plans to expand its intelligent robotic systems across multiple industries, including retail, logistics, and manufacturing. In these sectors, automation technologies have the potential to significantly reduce operational challenges caused by workforce shortages while improving efficiency and reliability in daily operations.

By combining AI-powered perception, robotic manipulation capabilities, and scalable system architecture, TX intends to deliver robotics platforms that can operate continuously in complex environments where human labor has traditionally been required.

Telexistence’s Mission and Technology Platform

Telexistence is a physical AI company focused on building the technological infrastructure needed for intelligent robots to operate effectively in the real world. The company’s long-term vision is centered around a bold mission: enabling robots to “grab every object in the world” using advanced robotic manipulation technologies.

To achieve this goal, TX develops integrated robotics systems that combine three key elements: foundational robot AI models, advanced control algorithms, and specialized robotic hardware. This integrated approach allows the company to design robots capable of understanding their surroundings, handling diverse objects, and performing physical tasks in dynamic environments.

Unlike many robotics developers that focus solely on either hardware or software, TX simultaneously builds both the AI models that power robot intelligence and the physical robotic systems that execute tasks. This strategy allows the company to create scalable platforms capable of supporting a wide variety of applications across different industries.

By integrating AI development with robotics hardware design, TX is building a foundation for deploying physical AI solutions across sectors such as retail, logistics, and manufacturing. These technologies could play a critical role in addressing structural labor shortages while enabling businesses to maintain stable operations in an increasingly automated global economy.

Industry Exposure and Future Opportunities

Participation in the Physical AI Accelerator Program will also provide TX with opportunities for global visibility and collaboration. As part of the fellowship, selected startups will be featured at major industry events hosted by Amazon Web Services, NVIDIA, and MassRobotics.

One of the key upcoming showcases will take place during AWS re2026, where leading technology companies, startups, and industry professionals gather to explore the latest innovations in cloud computing, artificial intelligence, and robotics. Participation in such events will provide TX with valuable opportunities to demonstrate its technology, connect with potential partners, and expand its presence in global markets.

Through the resources, mentorship, and industry connections offered by the accelerator program, TX aims to accelerate its mission of bringing intelligent robotic systems into everyday industrial environments. The collaboration between leading technology providers and emerging robotics innovators highlights the growing momentum behind physical AI and its potential to reshape industries worldwide.

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