The Falcon digital twin platform provides high-fidelity, domain-tailored simulation for a variety of use cases. | Source: Duality AI
Duality AI yesterday launched an EDU license and subscription for its Falcon simulation platform. The company said it designed this new program to equip aspiring artificial intelligence developers with the synthetic data skills needed to create advanced AI vision models.
This educational, non-commercial license is intended to expand access to digital twin simulation, said Duality. The San Mateo, Calif.-based company said it will enable students and developers to build cutting-edge AI models and meet the growing demand for AI professionals across industries.
“Digital twin simulation has unlocked a future where anyone can build AI models safely, rapidly, and affordably,” said Mike Taylor co-founder and chief product officer of Duality AI. “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,” he stated.
Founded in 2018, Duality AI said its multidisciplinary team includes engineers, simulation specialists, AI and machine learning experts, and technical artists. They have more than over 70 patents across robotics, simulation, and visualization.
The company specializes in cases where real-world data is insufficient for achieving the precision required for AI modeling and training of complex operations. Duality said it has developed proven techniques that drive successful outcomes for its customers.
By bringing high-fidelity digital twins of environments and operating systems into Falcon, organizations can generate accurate data and predictive behavior modeling, said Duality AI. This enables them to deploy automated systems robustly and at scale, the company claimed.
Organizations are using the Falcon platform to help solve problems in AI, robotics, and smart system engineering, said the company. Their applications span off-road autonomous driving, high-volume manufacturing, warehouse automation, and disaster management.
Duality AI told The Robot Report that it is taking a similar approach with the EDU license to its work with NASA’s Jet Propulsion Laboratory on the DARPA RACER, enabling students to generate synthetic data for outdoor environments and train and test AI models for autonomous off-road vehicles.
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, said Duality AI.
“There is currently a lack of some key skills — such as creating digital twins or best-practice techniques for getting the most out of synthetic data — that are not that difficult to learn, but make a huge difference,” said a Duality AI spokesman. “We’re helping close that gap.”
The EDU program offers subscribers full access to Falcon’s feature set. It also includes guided exercises and community resources developed by Duality AI’s experts.
“As an example: In Exercise 1 of the program, we are showing roboticists another way to develop the object-detection models that run on their systems,” the spokesman said. “In fact, it’s a method that many in our field don’t think is possible. We went to show them that not only is it possible, but [also] that we can teach them how to bring these skills into their own development patterns.”
To further support all learners, Duality is launching an online community where anyone can ask questions, collaborate on projects, and share their work.
The company said the curriculum itself is designed to build a strong foundation in digital twin and synthetic data workflows, equipping participants with the skills to create high-performance AI vision models independently.
“Falcon is the platform I wish I had as a graduate student,” said Dr. Felipe Mejia, an AI vision engineer at Duality. “I was always searching for datasets to test new algorithms, and working with digital twins in Falcon offers endless opportunities to experiment and explore.”
“It allows me to simulate scenarios not well-covered by real data, and easily investigate model failure modes — like how does object detection success rate change based on obstruction, distance, lighting? Or any other variable,” he noted.
Duality AI added that its EDU subscription is intended to inspire innovation, and it encouraged users to experiment, develop their projects, and apply their learnings across a variety of fields. The company said it “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.”
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