The Infrastructure Stack forAutonomous Robotics

Deploy smarter, faster robots at scale. Edge powers low-latency compute, seamless training workflows, and modular deployment.

Edge Robotics Hero

The Problem

High latency ruins response time.
Inconsistent performance in real-world ops.
Real-time compute is not optional.
Cost explodes at scale

The Solution

Cloud-native robotics stack.
Real-time compute, out of the box.
Modular tools for every stage.
Scalable infra, predictable costs.
Stack Diagram

A Complete Stack for the Real World

XE Blockchain

The foundational layer everything runs on. It handles identity, coordination, and on-chain payments for devices, users, and services.

Product

Everything You Need to Build Robotics

Training Dojo

Designed to power the development of intelligent machines at scale. It lets you spin up robotics simulations, training environments, and tools like NVIDIA Omniverse.

Robotics Marketplace

Your deployment gateway for prebuilt robotics modules, simulation bundles, and full-stack environments. It’s designed to reduce complexity and time-to-launch, with ready-to-deploy workloads.

Robotics SDK

Complete development kit for building and scaling robotics applications. Provides tools, documentation, and APIs for creating modular robotics systems that run securely across distributed environments.

Use Case

End-to-End Robotics in the Cloud

Robots That Learn from the Cloud

Leverage large-scale data to continuously retrain and improve robot behavior, from perception to decision-making.

Robots That Run on Edge

Deploy intelligence directly on devices to achieve real-time processing, low latency, and autonomous operation even offline.

Robots That Are Built Modularly

Compose robotics systems using reusable modules for control, vision, and planning, enabling faster builds and flexible upgrades.

Workflow

From Idea to Autonomous Agent

Prototype model or logic in Dojo

Start by defining the robot's decision making logic from perception to control directly in the Dojo environment.

Train with GPU-accelerated simulation

Use high-performance GPU clusters to train AI models through realistic simulations that prepare robots for real-world scenarios.

Browse modules from Marketplace

Access pre-built robotics components, sensors, and algorithms from the community to accelerate development and reduce complexity.

Integrate into stack via SDK

Connect all components seamlessly using the Edge SDK to create a unified robotics system ready for deployment.

Deploy to edge hardware

Push your robotics system to edge devices for real-time operation with low-latency performance and autonomous functionality.

Monitor + iterate

Track performance metrics, gather feedback, and continuously improve your robotics system through data-driven updates and refinements.

Signup and Get Started Today!

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