Falcon 5.3 introduces mission-ready SAR, physically grounded IR, versioned data workflows, expanded robotics support, and more!

Falcon’s new virtual SAR sensor generates high-fidelity synthetic radar imagery, enabling rapid creation of labeled SAR datasets across mission-specific scenarios— designed for AI model training.

Latest releases brings Unreal Engine 5.5, enhanced rendering, higher-fidelity twins, and new collaboration tools—all to boost simulation precision and accelerate AI training and deployment.

Today we’re excited to announce the release of Falcon 5.1, a focused update that brings several user experience and workflow enhancements based on our work with customers and EDU users. 

How can you use Falcon to train a vision model like YOLOv8? In this blog we present a high-level walkthrough from simulation scenario creation to model training and testing. Let's dive in!

Today marks the arrival of our educational license — designed for anyone looking to learn to build better AI models with digital twin simulation. Meet EDU.

With an upgrade to Unreal Engine 5.3, the Latest Falcon release brings even higher simulation accuracy with enhanced real-time performance — all while lowering the bar for digital twin creation!

Falcon 4.2 brings a host of exciting updates — chief of which is FalconEditor: an intuitive visual tool designed to streamline and accelerate the adoption of digital twin simulation.

Our first release of 2024 brings exciting new updates to FalconSim, FalconCloud, and FalconEditor. In this blog we dive into the brand new features rolling out today.

ViperGPT shows great potential as a visual system for Embodied AI. We use FalconCloud to learn how VipertGPT sees the world. 

Today we’re announcing an expansion of the Falcon product suite with the debut of two new products: FalconCloud and FalconEditor.

Creating high-fidelity Digital Site Twins can be a daunting task. Duality's AI-powered pipeline enables our customers to build a digital twin of any desired location from already available data!

USD is game-changing for composing simualtion scenarios, but parsing it is complex and slow. Meanwhile loading pak files in Unreal is a breeze. Can we have the best of both worlds?

Efficiency drives much of Duality’s purpose — and it led us to develop a novel approach to simulating a probe sensor for guiding an autonomous warehouse robot fleet (with many more applications).

“Game engines cannot be physically accurate simulators” is a maxim in need of retirement. We prove it false by demonstrating determinism in Unreal Engine.

Unreal Engine is not only meant for large, expensive GPUs...

In this end-to-end operations demo, two autonomous vehicles (quadcopter and a compact track loader), are trained to perform a search and retrieve mission of airdropped supplies.

This project earned Duality a spot on Fast Co's World Changing Idea List. We walk through how we built it by integrating Falcon with AWS SimSpace Weaver.

Powerful integrations are vital to Falcon. We show one way of co-simulating a rocket launch with MATLAB Simulink and Falcon for generating higher accuracy results.

The Open Geospatial Consortium wants geospatial data to be Findable, Accessible, Interoperable, and Reusable. We agree, and propose our standard for truly interoperable Digital Twins.