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FLYTO Employs Digital Twins to Evaluate New Aircraft

FLYTO Employs Digital Twins to Evaluate New Aircraft
Advancing Aircraft Testing Through Simulation
South Korean startup FLYTO is addressing one of aviation’s most costly challenges: identifying aircraft issues during flight. Specializing in simulation tools for drones, electric vertical takeoff and landing vehicles (eVTOLs), and other emerging aircraft, FLYTO aims to enable engineers to detect and resolve problems within virtual environments before undertaking expensive and risky real-world flight tests.
At the core of FLYTO’s technology is its VeriAero product, a high-precision flight-data acquisition unit that captures critical parameters such as speed, attitude, altitude, control inputs, engine status, and aircraft response. This data is integrated into a sophisticated flight-physics model and a three-dimensional digital environment capable of replicating terrains, urban landscapes, airports, and vertiports. The focus is not on creating visually striking virtual aircraft but on developing robust models that can accurately simulate specific aircraft behaviors under conditions that are costly, unsafe, or difficult to reproduce in reality.
This approach allows developers to conduct repeated simulations of variables including weather fluctuations, low-altitude urban operations, route deviations, vertiport approaches, control delays, and emergency scenarios well in advance of any physical flight campaign. Such capabilities are increasingly critical as advanced air mobility introduces electrically powered, highly automated aircraft that must coexist with traditional aviation, navigate new vertiport infrastructures, and operate safely within complex urban environments and variable weather conditions.
Challenges and Industry Implications
Despite its promise, integrating digital twins into aircraft evaluation presents significant challenges. FLYTO must ensure the accuracy and reliability of simulation data while managing the substantial costs associated with developing and maintaining sophisticated digital twin models. Additionally, the company faces the task of incorporating advanced artificial intelligence technologies into existing production systems. The growing reliance on digital twins is also driving demand for skilled professionals capable of managing and interpreting complex simulation data.
Market responses to these developments are mixed. While some traditional manufacturers remain cautious about adopting new simulation technologies, competitors are likely to accelerate their own digital twin initiatives to maintain a competitive edge. Regulatory agencies such as the Federal Aviation Administration (FAA) are still formulating frameworks for advanced air mobility and collaborating with industry stakeholders to simulate how eVTOLs might share airspace and facilities with conventional aircraft.
It is important to emphasize that digital twins do not replace real-world testing or serve as a means of aircraft certification. Although simulation may be incorporated into the FAA’s certification process as part of compliance demonstration, it remains necessary to conduct engineering analyses, safety assessments, inspections, ground testing, and extensive flight testing. FLYTO’s objective is to complement and expedite these processes by providing better models, broader scenario coverage, and cost reductions.
Company Background and Future Prospects
FLYTO’s credibility is grounded in its experience delivering aviation training simulators within South Korea, including supplying simulators to educational institutions and developing a Boeing 737NG maintenance simulator. Recently, the company secured Pre-A funding led by The Wells Investment and MYSC. This investment will support enhancements to aircraft physics models, expansion of operational scenarios, and commercialization of its validation platform tailored for aviation and urban air mobility sectors. Although the funding amount was not disclosed, this milestone highlights FLYTO’s ambition to evolve from hardware and data-collection tools toward a comprehensive software-driven platform serving the broader aviation industry.

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