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The ePlane Company, India’s leading developer of electric Vertical Takeoff and Landing (eVTOL) aircraft, has announced that it is building India’s First Electric Air Taxi using NVIDIA Omniverse libraries. The ePlane Company will create a high-fidelity "Digital Twin" of the e200x, setting a new benchmark for aerospace simulation. Additionally, it will use the NVIDIA IGX platform as the onboard computing platform to host a variety 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.
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 safe computing solution to integrate multiple sensors— such as cameras and radars—to deploy advanced algorithms for data fusion, decision making and visualization.
This collaboration tackles 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 kilometers virtually, training its algorithms on complex real-world scenarios before the aircraft even takes flight. ePlane also plans to use NVIDIA Cosmos world foundation models and NVIDIA Nemotron family of open models with open weights, training data, and recipes for future development.
“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.
The collaboration also opens a new frontier for the Indian aviation sector. The computational intensity of these simulations requires high-performance computing (HPC) infrastructure, utilizing top-tier GPUs to render physics in real-time. This high-fidelity digital twin can also serve as a predictive analytics engine, mirroring the configuration of the actual aircraft components to predict maintenance needs long before a failure occurs.
“This isn’t just a simulation, it’s a time machine for safety. Our planes live a thousand lives in the digital testbed where the algorithms can master the unknown, test the most remote of scenarios and improve exponentially. This will accelerate the pace of innovation and help us build more with less. Every decision is proven and perfected in the digital world so that safety is absolute in the physical one,” said Bakthakolahalan Shyamsundar, Principal Engineer - Avionics Systems & Autonomy, The ePlane Company.
“As we take our aircraft through certification, our work with NVIDIA focuses on treating the aircraft, its sensors, and onboard computing as one integrated, certifiable system,” said Vishnu Ramakrishnan, SVP - Business Partnerships & AAM Strategy, The ePlane Company. “By combining NVIDIA Omniverse-based digital twins with mission-critical edge computing on the aircraft, we are laying the groundwork for certifying advanced computing platforms for aviation use in India,” he added.
“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.”
The ePlane Company continues to lead the charge in electric aviation, combining indigenous engineering with global best-in-class technology partnerships.
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