The ePlane Company To Build a Digital Twin Of Its Electric Air Taxi with NVIDIA Omniverse Libraries

Indian electric vertical takeoff and landing (eVTOL) aircraft developer The ePlane Company is building a digital twin of India’s first electric air taxi using NVIDIA Omniverse libraries. In a press release, the company said it will create a high-fidelity “digital twin” of the e200x for aerospace simulation. It will also use the NVIDIA IGX platform as the onboard computing system to host a range of critical applications.

The ePlane Company is using physics-accurate digital reality, enabling its engineers to simulate complex aerodynamic interactions, sensor responses, and flight scenarios with a level of precision that traditional physics engines cannot match. The company aims to advance electric aviation by combining indigenous engineering with global technology partnerships.

The computational intensity of these simulations requires high-performance computing (HPC) infrastructure, using top-tier GPUs to render physics in real time. The high-fidelity digital twin can also serve as a predictive analytics engine, mirroring the configuration of actual aircraft components to anticipate maintenance needs well before a failure occurs.

Modern aviation, particularly urban air mobility, presents new challenges, including the need for pilots to maintain enhanced situational awareness. The NVIDIA IGX platform provides a safety-certifiable computing solution that integrates multiple sensors—such as cameras and radars—to deploy advanced algorithms for data fusion, decision-making, and visualization.

About the collaboration

The partnership addresses a critical challenge in deep-tech aviation: validation. Physical testing of edge cases—including extreme weather, sensor failures, or collision scenarios—is costly and risky. The e200x digital twin enables teams to fly millions of kilometres virtually, training algorithms on complex real-world scenarios before the aircraft takes flight. The company also plans to use NVIDIA Cosmos world foundation models and the NVIDIA Nemotron family of open models, which include open weights, training data, and development recipes, for future work.

 “We are not just building an aircraft; we are building an ecosystem. Collaborating with NVIDIA allows us to blur the line between the digital and the physical. By validating our flight operations suite in NVIDIA Omniverse we are effectively pushing the limits of the aircraft thousands of times in simulation so that we never have to in reality. This level of rigor is what defines sovereign aerospace capability,” said Prof. Satya Chakravarthy, Founder & CTO, The ePlane Company.

“India’s AI startup ecosystem is primed for acceleration, driven by exceptional technical talent and global ambition,” said Tobias Halloran, Director of EMEAI Startups and Venture Capital at NVIDIA. “NVIDIA is accelerating this momentum by giving founders direct access to accelerated computing, scalable AI infrastructure, and programs like NVIDIA Inception for startups and the NVIDIA VC Alliance—helping startups scale faster and build for global markets.”