We’re excited to share that PrismaX is now part of the NVIDIA Inception program.

This milestone comes at a moment when physical AI is moving from research into real-world deployment. Systems are increasingly defined by how robots operate, interact, and learn in real environments. 

At PrismaX, we focus on the systems that make this possible. 

Over the past year, we have operated large-scale, human-in-the-loop robotics systems to generate real-world interaction data. In doing so, a clear pattern has emerged. 

The usefulness of robotics data depends on how systems are deployed. 

Robot embodiment, sensor configuration, task structure, and human interaction all affect whether the resulting data leads to improvements in intelligence. 

Some robot designs suit specific interactions better. Camera placement, depth perception, and sensing configuration influence how models learn from the data. Some task structures yield data that models learn from quickly, while others produce large but less useful datasets.

Over time, these patterns begin to define practical standards.

They shape how robots should be configured, how environments should be set up, how tasks should be structured, and how humans interact with machines during operation. 

PrismaX exists to define these standards. 

Why NVIDIA Inception Program

NVIDIA has built much of the foundation underlying modern AI systems, from accelerated computing to the tools and infrastructure used to develop and deploy models. 

Through the NVIDIA Inception program, PrismaX gains access to developer tools, technical resources, training, preferred infrastructure access, and a broder ecosystem of builders and investors. 

These resources support the continued development of systems that operate in the real world and generate the data required to improve physical intelligence. 

We’re excited to work alongside NVIDIA and the broader ecosystem to advance physical AI.