| Name | Quantity | Cost | Value | Profit ($) | Gain (%) |
|---|---|---|---|---|---|
| SE Sima Elimelech Activest Wealth Management | 15 | $110.55 | $58.65 | -$51.9 | -46.95% |
| LL Lukas Lindgren Abound Wealth Management | 1 | $1.85 | $3.91 | $2.06 | 111.35% |
| Software Industry | Information Technology Sector | Joshua Nathaniel Silverman CEO | NASDAQ (CM) Exchange | 054748306 CUSIP |
| US Country | - Employees | - Last Dividend | - Last Split | - IPO Date |
Fabric.AI, Inc. is a forward-thinking company focused on designing and developing fabless semiconductor technologies aimed at revolutionizing optical interconnect and artificial intelligence (AI) applications. The company specializes in MicroLED based optical interconnect solutions and offers a comprehensive suite of advanced semiconductor technologies optimized for demanding AI workloads. Additionally, Fabric.AI is dedicated to creating cutting-edge interfaces that facilitate GPU-to-GPU connectivity, paving the way for innovative prototypes and demonstration versions of its technology. Established in 2017, and originally known as StableX Technologies, Inc., the firm rebranded to Fabric.AI, Inc. in April 2026, and is headquartered in the dynamic city of New York, New York.
This groundbreaking technology leverages MicroLEDs to create high-performance optical interconnects that enhance data transmission rates and efficiency within semiconductor frameworks. Designed to meet the demands of modern data centers and AI applications, these interconnects are poised to redefine performance benchmarks.
Fabric.AI provides a suite of fabless semiconductor technologies tailored specifically for artificial intelligence workloads. These technologies are engineered to optimize processing power and efficiency, allowing businesses to accelerate AI development and deployment while minimizing the costs associated with traditional semiconductor manufacturing.
The company focuses on the advancement of interfaces that facilitate seamless GPU-to-GPU connectivity. This initiative aims to enhance data flows between GPUs, thereby improving computational performance for tasks reliant on parallel processing, critical for AI, deep learning, and other resource-intensive applications.
As part of its development process, Fabric.AI is committed to producing prototypes and demonstration versions of its project technologies. This aspect enables potential clients and partners to assess and experience the practical applications and performance capabilities of the company’s semiconductor innovations prior to full-scale production.