Real-Time Compute Built for the Physical World

One platform for persistent autonomy — purpose-built for systems that must perceive, understand, reason, and act.

X-Silicon Raptor™ for drones and unmanned systems and Kinetic™ for robotics

Physical AI for Real-World Autonomy

Real-World Autonomy

Drones and robotics that operate continuously in complex, unstructured environments.

Higher Efficiency

More intelligence per watt across constrained autonomous platforms.

Spatial Intelligence

Localization, mapping, and geometry for real-world understanding. Edge intelligence for robotics and drones

Ground & Aerial

Aerial inspection, infrastructure monitoring, military and ground autonomy.

Robotics built for warehouses, industrial and mobile

More Autonomy Is Creating a AI Compute Problem

The exponential growth in autonomous capabilities demands unprecedented compute power, memory, spatial intelligence and efficiency pushing the limits of traditional compute architectures.


More Sensors. More Working Data

Autonomous systems generate high volume of data daily from cameras, LiDAR, and other sensors creating work state demands.

Real-Time Decision Making

Autonomous systems must perceive, localize, reason, plan and act in real-time with latecy directily affecting system performance.

Edge Constraints

Deploying advanced AI on compact, power-constrained platforms at the edge introduces significant thermal and size challenges.

Complex AI Models

Automony increasingly combines AI inference, spatial processing, mapping, planning, control and persitance state - often running simultaneously

More Autonomy Is Creating a AI Compute Problem

As onboard intelligence grows, autonomous machines are pushed toward more compute, memory, and power. OEMs pay a growing system penalty — in memory bandwidth, thermal load, latency, and cost — to get the autonomy they need.

Autonomy Demand ↑

  • Larger AI models and more sensors
  • Spatial understanding and reasoning
  • More simultaneous workloads
  • Persistent context and state

Platform Burden ↑

  • Memory traffic and bandwidth
  • Power and thermal load
  • Latency & integration complexity
  • Rising system cost



Physical AI Needs More Than an AI Accelerator

Autonomous machines must coordinate AI, spatial context, persistent working state, and real-time control as one continuous system — not a collection of stitched-together engines.


Today — Stitched Autonomy Compute

Copies • synchronization • format conversion • repeated state movement. Each engine may be efficient individually — the system pays the integration cost.

X-Silicon — One Physical AI Platform

AI Compute + Spatial Compute + Persistent Working State + Real-Time Control = coordinated execution across one common platform.

More Autonomy Per Watt. Less Memory Movement.

By keeping active working state closer to execution, X-Silicon reduces the overhead that limits today's autonomous platforms.

Less Data Movement

Keep active working state closer to execution — reducing unnecessary memory traffic.

Faster Response

Reduce repeated movement and synchronization - enabling faster response across compute domains.

Lower Power

Spend less energy moving data — more power for intelligence, range and operations.

More Autonomy

Enable more on-board intelligence with constrained power and thermal envelopes

XMEM™: Reduced Memory Movement

XMEM keeps high-value state close to execution, reducing unnecessary memory traffic across continuous autonomy workloads.

Persistent Working State

Reusable state available across continuous autonomy tasks.

Reduced Memory Movement

Minimizes unnecessary external memory traffic across autonomy workloads.

System-Level Efficiency

Lower overhead, faster response, better real-time behavior.

One Platform for the Complete Autonomy Loop



Raptor™ + Kinetic™

Two purpose-built platforms for autonomous machines — built on one common
X-Silicon Physical AI foundation: SIU™ + XMEM™ + Constellation™.


Raptor™
Drones & Unmanned Systems

  • More autonomy onboard, more mission per watt
  • Operates through degraded connectivity
  • Built for SWaP-constrained aerial systems

Kinetic™
Robotics & Autonomous Machines

  • Perception + Spatial Intelligence
  • Persistent working state
  • Built for warehouse, industrial, and mobile robotics

The Moat Is the Platform™ — Not Just the Silicon

X-Silicon combines protected compute architecture, deployable product platforms, software, and OEM integration into one vertically focused Physical AI stack.

Protected Compute Foundation

SIU™ + XMEM™ — purpose-built for Physical AI, persistent state, and real-time autonomy.

Purpose-Built Product Families

Raptor™ + Kinetic™ — different form factors, same common foundation.

Integrated Software Platform

Constellation™ + developer tools + runtime — programmable, deployable, easy to integrate.

OEM System Integration

Modules + reference platforms + application support — reduces integration burden.

Compounding Vertical Expertise

Each implementation improves the platform for the next design win.

Built to Work With Existing Autonomy Ecosystems

X-Silicon integrates with established autonomy software, sensor ecosystems, and developer environments — preserving the advantages of the underlying Physical AI platform.



Open Ecosystem

ROS 2, PX4, Dronecode, AI frameworks — work with established customer tools.

Faster Integration

Reduce what customers need to rebuild from scratch.

Platform-Aware Execution

Workloads optimized around X-Silicon's architecture.

One Path Across Products

Common software foundation across Raptor™ and Kinetic™.

Traction Across Europe and India

X-Silicon is building technical, ecosystem, and commercialization traction for physical AI platforms in autonomous drones and robotics.

European Commercialization

RealX Vector is the European commercialization and market-access partner for X-Silicon-powered autonomous systems.

Technical & Research Ecosystem

Collaboration with TalTech and active engagement with the Estonian and European semiconductor and autonomy ecosystem.

India OEM Engagement

Active India OEM and sovereign-program engagement for autonomous systems across drones and robotics.

Open Autonomy Ecosystem

Support for ROS 2, PX4, Dronecode, AI frameworks, and OEM/developer integration.



Experienced Team — Billions of Chips Shipped

Industry pioneers who have built, scaled, and commercialized the platforms that defined modern graphics, mobile, and AI compute.

Dan Nilsson

Founder & CEO — ex-Qualcomm, AMD/ATI, Thundercomm

Steven Turner

CTO — ex-Qualcomm, AMD, ATI

Dr. Atif Zafar

Chief Scientist — Co-Founder bRANE & Pixilia, Founding Member RISC-V Graphics Extension Group

Larry Polizzotto

CFO/COO — ex-Dell, IBM, Honeywell

Colin McKellar

Technical Advisor — ex-Imagination, Sony

Daniel G. Nilsson

CTO RealX / VP Engineering X-Silicon — Tieto, Ericsson

Rob Isherwood

Software Lead - ex- Imagination, MIPS

Mehmet Oguz Derin

Software Engineer - ex-Morgenrot, Rapsodo, Imagination

Let's Build the Next Era of Physical AI.

X-Silicon is building purpose-built compute platforms for autonomous drones, robotics, and real-world machines.

For customer, partner, investor, and technical inquiries:

contact@x-silicon.ai

Get in Touch