ePlane company to build electric air taxi digital twin using NVIDIA Omniverse

Chennai based deeptech startup The ePlane Company, will build India’s first electric air taxi using NVIDIA Omniverse libraries.

The company will create a high-fidelity "Digital Twin" of the e200x, its electric Vertical Takeoff and Landing (eVTOL) aircraft, 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.

By using physics-accurate digital reality, the company is able to enable its engineers to simulate complex aerodynamic interactions, sensor responses, and flight scenarios with a level of precision that traditional physics engines cannot match.

“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.

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. According to the 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.