

Synchron is pioneering minimally invasive brain-computer interfaces (BCIs) to restore communication, mobility, and independence for people with paralysis. Its Stentrode™ platform is the first endovascular BCI designed to translate thought into digital action without open-brain surgery, combining neurointerventional access, device engineering, and NeuroAI to create scalable, real-world neural interfaces. The company is headquartered in New York, NY, with an engineering and research hub in San Diego, CA.
Kimberly Ha
Synchron, a category-defining brain-computer interface (BCI) company, today unveiled the roadmap to Chiral™, a foundation model of human cognitions, marking the emergence of Cognitive AI—artificial intelligence trained directly on human neural activity. Synchron is advancing BCI from supervised to self-supervised learning, accelerating the transition by combining large-scale neural data with advanced NVIDIA AI-powered computing.
At GTC 2025, Synchron demonstrated how its AI-enabled BCI, powered by the NVIDIA Holoscan platform, could be displayed on the Apple Vision Pro, allowing individuals to control digital and physical environments using Synchron’s Stentrode™ direct thought-control technology. A highlight of the event was Synchron’s release of exclusive footage showcasing the real-world impact of its BCI technology. The video featured Rodney, a Synchron BCI user living with ALS, who despite losing the ability to use his hands, operated and controlled his digital home environment entirely hands-free, voice-free, and touch-free. Using direct thought-control, he adjusted lighting, played music, controlled temperature, and even activated appliances – made possible with the ability to navigate with your eyes and BCI-control of the AssistiveTouch features on Apple Vision Pro.
"We are building a brain foundation model using generative pre-training techniques that learn directly from neural data—abstracting human cognition at its source – to create features that improve our user’s lives," said Tom Oxley, M.D., Ph.D., CEO & Founder, Synchron. "This is possible because of our ability to scale large datasets, by making BCI as common as a stent insertion."
The Roadmap to Cognitive AI
Synchron’s collaboration with NVIDIA is centered around three major technological milestones on the roadmap towards Cognitive AI:
This breakthrough is only possible at scale, a challenge Synchron is solving through minimally invasive, transcatheter BCI delivery—a method as routine as pacemaker or stent procedures, which occur millions of times annually. This scalability enables population-level neural data collection, the key to training brain intelligence models.
“We are witnessing a new computing paradigm, where technology is no longer just responding to people—it’s empowering them in entirely new ways,” said David Niewolny, Senior Director of Business Development at NVIDIA. “By combining its breakthrough BCI technology with NVIDIA AI and Omniverse, Synchron is helping to deliver new possibilities for individuals with disabilities, enabling greater independence, communication, and connection with the world.”
Synchron’s collaboration with NVIDIA is laying the groundwork for the first large-scale foundation model of the brain. Just as AI today is trained on vast datasets of text and images, the next step in AI evolution is training on neural signals. Chiral™ will evolve into a self-learning model of cognition, representing the next leap beyond Generative AI and Agentic AI into the era of Cognitive AI.
Synchron remains focused on its users today. By restoring independence for people with paralysis, Synchron is demonstrating the life-changing potential of brain-computer interfaces while building the foundation for the next evolution of AI.
Synchron is pioneering minimally invasive brain-computer interfaces (BCIs) to restore communication, mobility, and independence for people with paralysis. Its Stentrode™ platform is the first endovascular BCI designed to translate thought into digital action without open-brain surgery, combining neurointerventional access, device engineering, and NeuroAI to create scalable, real-world neural interfaces. The company is headquartered in New York, NY, with an engineering and research hub in San Diego, CA.
Kimberly Ha