Duality AI Unveils FalconEditor: A Cutting-Edge Digital Twin Simulation Platform Powered by Unreal Engine

Duality AI Unveils FalconEditor: A Revolutionary Tool for Digital Twin Creation

Duality AI has announced the launch of FalconEditor, an intuitive visual tool designed to create digital twins and simulations effectively.

Powered by Epic Games’ Unreal Engine—renowned for its role in popular games like Fortnite—FalconEditor enhances the development of digital twins, allowing users to simulate real-world environments such as factories and office spaces.

Digital twins are rapidly gaining traction as a cost-saving solution, enabling companies to design and troubleshoot factory layouts digitally before physical construction. By integrating sensors into the real-world factory, companies can continuously update and refine the digital twin to mirror operational realities.

Headquartered in San Mateo, California, Duality AI aims to accelerate digital twin simulation technology adoption. With a team of 36 employees, the company is committed to transforming how businesses approach digital modeling.

FalconEditor creates a seamless workflow from twins to data simulation and works within the extensive Unreal Engine ecosystem, allowing enterprise users to leverage customizable resources without being tied to specific hardware or proprietary AI models.

Digital twin simulation is emerging as an essential tool for addressing challenges in AI, robotics, and smart systems development. It enhances AI models' understanding of the physical world, ensures the safe operation of robots, and introduces data-driven predictability to AI and automation strategies.

FalconEditor serves as an integrated development environment (IDE) that bridges the gap between industrial simulation and the dynamic requirements of AI synthetic data generation. This launch marks a significant leap toward making digital twin simulation accessible to engineers and data scientists, effectively lowering barriers to adoption in AI and automation teams.

The development of FalconEditor was made possible through an OEM agreement with Epic Games, the creator of Unreal Engine.

“Duality chose to base Falcon on Unreal Engine due to its superior rendering capabilities and vast content resources,” commented Duality CEO Apurva Shah. “Integrating Unreal Editor functionality into Falcon was a crucial step in simplifying simulation design and better meeting our customers’ needs. We are proud of FalconEditor and thankful to Epic Games for supporting our vision for the future of digital twins.”

This collaboration positions Duality as a leading provider of simulation solutions within the Unreal Engine ecosystem. The FalconPro product license offers access to Unreal Editor and dedicated support from Duality’s customer success team. By partnering with Duality, Epic Games demonstrates its commitment to advancing Unreal Engine's capabilities for enterprise applications.

“Duality is creating innovative ways to develop high-quality digital twins with the integration of Unreal Editor into FalconEditor,” stated Bill Clifford, VP of Unreal Engine and Creator Marketplaces at Epic Games. “Engineers and data scientists can now build extensive virtual worlds using AI and robotic systems for digital twin simulation, accessible directly from a web browser.”

Duality has enhanced Unreal Editor with digital twin functionalities, seamlessly linking it to FalconSim, their advanced digital twin simulator. For smooth enterprise adoption, FalconEditor is also integrated with FalconCloud, Duality’s digital twin and scenario catalog along with its cloud simulation environment.

As a result, Falcon users can employ millions of assets from the Unreal Engine ecosystem—items, systems, environments—tailoring them into simulation-ready digital twins embedded with tunable parameters and required data.

FalconEditor features a fully visual interface, allowing users to effortlessly arrange and manipulate digital twins for diverse simulation scenarios. With Falcon’s library of virtual sensors, data generation becomes instantaneous.

Users can test and refine scenarios—editing Python code to enhance digital twin behaviors—within FalconEditor’s IDE before sharing them with collaborators via FalconCloud. Scenarios can be executed flexibly in the cloud, within enterprise pipelines, or on local machines.

“Simulating high-fidelity scenarios enables us to validate and demonstrate real-world workflows across various situations, ultimately speeding up our testing and development cycle,” commented Dan Zangri, product manager at Palantir Technologies. “Falcon allows us to generate synthetic sensor data, reducing the need for expensive field experiments and facilitating edge case coverage, enabling faster product deployment.”