The platform that makes AI real-time, autonomous, personal, spatial and secure from mobile devices, glasses, drones, robotics to edge servers.
AI is undergoing its most fundamental transformation yet
AI is moving from answering questions to taking actions. Autonomous workflows from intent to action.
AI is becoming a continuously learning model of the user. Your second brain — private, persistent, personal.
AI is moving into robotics, drones, vehicles, cameras, and industrial systems. Intelligence in the physical world.
AI is moving from answering questions to taking actions. The agentic AI cycle enables autonomous workflows — from intent to action — through a continuous loop of perception, reasoning, action, and learning.
Autonomous workflows. From intent to action.

AI is becoming a continuously learning model of the user — understanding context, remembering personal history, adapting in real time, and protecting your privacy with on-device data.

Context & preferences
Personal history
Adapts in real time
On-device, your data
AI is moving into robotics, drones, vehicles, cameras, and industrial systems — from devices to autonomous systems. When latency, privacy, and autonomy matter, AI must live where decisions are made.
Not cloud AI. Not disconnected edge devices. Persistent, real-time adaptive intelligence operating at the point of action. One architecture — from personal AI to physical AI.
Realtime Adaptive Intelligence requires a new architecture. Memory data movement — not raw compute — is the limit on AI today. What if the data never had to move?
Today's architectures move data between memory and compute, creating latency and inefficiency. The constant transfer of information between separate memory and processing units is the fundamental constraint on AI performance.
Data remains resident. Execution moves to the workload. By keeping data on-chip and moving compute to where the data lives, X-Silicon eliminates the memory movement bottleneck that limits existing architectures.

X-Silicon's unified execution fabric brings together four tightly integrated layers — from open framework mapping to on-chip memory residency — enabling data to remain resident while execution moves to the workload.
Maps open frameworks to the unified execution fabric.
Vector-tensor engines built for programmable, continuous execution.
On-chip memory residency system eliminates external data movement.
Keeps data resident, adapts compute in real time, maximizes efficiency.

By 2029, your smartphone will understand you, anticipate your needs, and act before you ask — a continuously evolving model of you, your environment, and your future actions.
Your phone or device adapts to you in real time.
See more. Capture more. Understand more.
Monitors, predicts, and helps you live better.
Understands space, context, and intention.
Anticipates needs. Mitigates issues. Seizes opportunities.
Understands conversations. Enhances connection.
Neutron and DarkStar share the same ISA and same software — designed for zero re-architecture from mobile to edge server deployments.

Mobile · XR Glasses · Wearables · Drones

Edge Servers · Robotics
When latency, privacy, and autonomy matter, AI must live where decisions are made. One architecture spans every form factor.
Billions of units shipped into Tier-1 OEM production platforms. This team lived through the last great architecture transition in silicon. They are not predicting the next one. They are building it.
ex-Qualcomm · AMD/ATI · Thundercomm
ex-Qualcomm · AMD · ATI
Co-Founder bRANE · Co-Founder Pixilia · Founding Member RISC-V Graphics Extension Group
ex-Dell · IBM · Honeywell
ex-Imagination · Sony
ex-Imagination · MIPS
ex - Morgenrot, Rapsodo, Imagination
Now we prove it. X-Silicon is building the next generation of AI-native computing architecture for personal, physical, and persistent intelligence. If you're interested in partnerships, investment opportunities, technical collaboration, or learning more about our technology, we'd welcome the opportunity to connect.

Interested in partnerships, investment opportunities, or technical collaboration?
X-Silicon: