rewrite this title Duality AI Launches EDU Subscription to Empower Aspiring AI Developers with Digital Twin Simulation and Synthetic Data Skills

PRESS RELEASE-Duality AI, the company behind Falcon, a leading digital twin simulation platform, is announcing the launch of a new EDU license and subscription — a new program designed to equip aspiring AI developers with the synthetic data skills needed to create advanced AI vision models. This educational, non-commercial license reflects Duality’s commitment to expanding access to digital twin simulation, empowering learners to build cutting-edge AI models while helping to meet the growing demand for AI and simulation professionals across diverse industries.

“Falcon enables me to create datasets tailored to the specific challenges I want to study”

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Since its founding in 2018, Duality AI has led the way in leveraging digital twin simulation to overcome complex AI training challenges — especially in cases where real-world data is insufficient for achieving the precision required in various operational contexts. Today, leading commercial and government organizations, with applications spanning off-road autonomous driving, high-volume manufacturing, and disaster management, depend on Falcon to achieve AI model accuracy that real-world data alone cannot provide. Through this work, Duality has developed proven techniques that drive successful outcomes for its customers. As the need for accurate AI vision models continues to grow, so does the need for skills in digital twin simulation and synthetic data generation.

“Digital twin simulation has unlocked a future where anyone can build AI models safely, rapidly, and affordably,” says Duality’s co-founder and Chief Product Officer, Mike Taylor. “Now is the perfect time to invest in building a community that can harness these tools. Whether learners come from an engineering, research, or creative background, we’re excited to share our expertise and help them discover how their skills can play a vital role in the evolving AI industry.”

The EDU program offers subscribers full access to Falcon’s comprehensive feature set, alongside guided exercises and community resources developed by Duality AI’s experts in AI, simulation, synthetic data, and computer vision. To further support all learners, Duality is launching an online community where anyone will be able to ask questions, collaborate on projects, and share their work. The curriculum itself is crafted to build a strong foundation in digital twin simulation and synthetic data workflows, equipping participants with the skills to create high-performance AI vision models independently.

“Falcon enables me to create datasets tailored to the specific challenges I want to study,” shares Dr. Felipe Mejia, AI Vision Engineer at Duality. “As a graduate student I was always searching for datasets to test new algorithms, but commonly available datasets, like varieties of cats and dogs, were too disconnected from real-world problems I was working on. Falcon allows me to simulate scenarios not well-covered by real-world data, and systematically study how dataset variables impact model performance. Being able to precisely investigate failure modes, like finding the exact point where a model begins to struggle with occlusion or detecting distant objects, makes Falcon’s synthetic data an invaluable tool for deeper insights and innovation.”

Duality AI’s EDU subscription is designed to expand access and inspire innovation. Participants are encouraged to experiment, develop their projects, and apply their learnings across a variety of fields. Duality hopes to foster a vibrant community of innovators eager to explore the full potential of synthetic data and digital twin simulation in modern AI applications.

For more information on the EDU subscription and how to join, visit www.duality.ai/edu. Researchers, educators, and universities/learning institutions are encouraged to contact Duality to discuss any specific questions or arrangements, by emailing: [email protected].