A Silicon Valley–founded artificial intelligence startup Integral AI Inc., has turned its focus to Japan to demonstrate how AI can transform one of the world’s largest industrial robot supply chains.
The five-year-old startup founded by former Google researchers Jad Tarifi and Nima Asgharbeygi, develops AI models designed for automated systems such as robots and self-driving vehicles. Since 2021, the company has collaborated with auto parts manufacturer Denso Corp. to train industrial robots to learn new capabilities by observing demonstrations.
At the same time, the 15-person startup has started early discussions with major Japanese corporations, including Toyota Motor Corp., Sony Group Corp., Honda Motor Co., Nissan Motor Co., and Mitsui Chemicals Inc. Through these conversations, the company aims to demonstrate how artificial intelligence can improve manufacturing efficiency and automation.
Furthermore, Tarifi explained that the next stage will allow a human operator to give a robot a language command such as “make a coffee,” after which the robot will independently learn how to complete the task. This capability could significantly change how machines learn and adapt within industrial environments.
Japan already holds a dominant position in the robotics industry. Companies such as Fanuc Corp. and Yaskawa Electric Corp. rank among the world’s leading industrial robot manufacturers. Meanwhile, SoftBank Group Corp. is acquiring the robotics unit of ABB Ltd., which further strengthens the country’s robotics ecosystem. Additionally, automation specialists such as Mitsubishi Electric Corp. and Kawasaki Heavy Industries Ltd. contribute to the sector’s growth.
According to the International Federation of Robotics, Japanese companies deliver roughly 29 percent of the global supply of industrial robots. However, Tarifi believes the country still has a gap to address in artificial intelligence capabilities. As he explained, “Japan is strong in robotics, but they’re not strong in AI and computing.”
Tarifi, who established Google’s first generative AI team in 2013, belongs to a growing group of AI researchers who believe the brain’s neocortex holds the key to building advanced AI systems. These scientists study how humans learn as children and attempt to replicate that process in artificial intelligence models.
Therefore, Tarifi aims to design AI models that can extract knowledge from smaller datasets while also processing new information without erasing previously learned data. This approach plays a crucial role in continuous learning systems.
As a result, such models could allow companies to advance physical AI technologies and tackle complex challenges such as designing new batteries, discovering advanced materials and drugs, and powering humanoid robots. Tarifi emphasized that these applications could redefine how industries deploy artificial intelligence.
Ultimately, the company wants to enable organizations to train robots that can build other robots. Tarifi explained the broader vision clearly: “They might build a cooking robot, they might build a cleaning robot, or they might build a factory robot that builds an iPhone.”
Moreover, the ability for machines to learn independently could reduce the need for constant software updates. Tarifi noted that current large language models, including ChatGPT from OpenAI and Gemini from Google, depend heavily on human-guided training processes. Consequently, this dependence can limit flexibility, efficiency, and reliability.
Tarifi’s personal history also shaped his motivation to work on physical AI. After facing life-threatening conditions as a child in war-torn Lebanon, he developed a strong belief that artificial intelligence must influence the physical world rather than remain limited to digital systems. He expressed this belief during a 2024 interview with Nikola Danaylov, author of Conversations with the Future: 21 Visions for the 21st Century, on the Singularity.FM podcast.
So far, Integral AI has raised approximately $5.5 million in funding. Now, the startup aims to secure another $10 million in a new funding round to expand its AI model and prepare it for a public release.
Although this amount appears small compared with the massive investments that large technology companies pour into artificial intelligence, Tarifi believes it is sufficient for algorithm development. After the company launches its Genesis AI model later this year, it plans to pursue larger investments to scale operations.
Danaylov commented on the company’s ambitious approach and said, “The company’s claims are extremely bold.” He also added, “But when you can’t afford to use or recreate the paradigm, you have no other option but to invent a new one.”
Integral AI is positioning itself at the intersection of robotics and artificial intelligence by developing systems that allow machines to learn tasks independently. By targeting Japan’s powerful robotics industry and collaborating with leading manufacturers, the startup aims to accelerate the development of physical AI systems capable of transforming manufacturing, automation, and advanced robotics worldwide.
