Neural I/o is being developed in partnership with Kopin Corporation (NASDAQ:KOPN) and is designed to address one of the largest emerging bottlenecks in artificial intelligence infrastructure: the movement of data between GPUs, accelerators, memory systems, and servers inside AI data centers.

The Company also announced that it has entered into two non-disclosure agreements with leading chipmakers to discuss potential applications and integration opportunities for Neural I/o within next-generation AI systems.

Fabric.AI believes MicroLED-based interconnect architectures may offer substantial advantages over traditional copper and laser-based solutions, including lower power consumption, lower latency, improved thermal efficiency, greater density, and superior scalability for hyperscale AI environments.

As AI models continue scaling exponentially, industry leaders have increasingly emphasized that networking and interconnect performance are becoming critical constraints on AI system growth. NVIDIA founder and CEO Jensen Huang has repeatedly described networking as essential infrastructure for AI factories, stating that "the datacenter is the new unit of computing" and emphasizing that throughput and interconnect efficiency directly impact AI productivity and economics.

Fabric.AI also reported that it currently has approximately $30 million in cash and cash equivalents, which the Company believes is sufficient to fund operations through the planned Neural I/o™ demonstration milestone.