OVA
Description
Asurada is a Super-Neuro-Computer created by Hiroyuki Kazami as an artificial intelligence navigation system for Cyber Formula racing vehicles, operating under Sugo Group teams. It functions as the core operating system for its titular racing machines, with its programming locking exclusively to Hayato Kazami as sole recognized driver after accidental imprinting during transportation. This established an enduring operational pairing throughout multiple seasons.
The AKF-11 model, Asurada's third iteration, debuted in 2016. Designed by Claire Fortan to replace the SA-01, it first raced at the Africa Grand Prix. Its AKF-11/A variant executed the Inertia Drift maneuver, securing Hayato's victory in its debut despite sustaining damage, and claimed the 11th Cyber Formula World Grand Prix championship that season. During 2017, the AKF-11/A won four consecutive races before a high-speed collision at the British Grand Prix caused extensive vehicle damage and severe injury to Hayato, resulting in Sugo Asurada's championship loss.
After Sugo Grand Prix acquired Theodolite T.T. (renamed Sugo Winners), the AKF-11/A continued service in 2018 due to Asurada's persistent recognition lock. Performance limitations arose from its retained 2017-spec engine and Hayato's psychological trauma from the crash, initially preventing Aero Boost usage. These were overcome during the Norway Grand Prix with external support. Later that season, the upgraded AKF-11/C variant featured a lighter chassis, Union Savior's CCE V12/S engine, and extended 36-second boost capability. It won the 2018 Japan Grand Prix through coordinated tactics with Henri Claytor and mastery of Inertial Drift, contributing to Sugo Winners' championship victory.
The AKF-11/C competed through 2019 as car No. 2, achieving early successes before being outpaced by rivals like the Stihl HG-165 in later races. Its competitive history concluded after a final collision at the Australia Grand Prix cost Hayato the championship, leading to retirement in favor of the Garland SF-03 for 2020. Documented variants include the original AKF-11/A and engine-upgraded AKF-11/C. Asurada's operational characteristics encompass adaptive racing strategy formulation and real-time performance optimization, with its AI core maintaining driver-specific pairing protocols during its service life.
The AKF-11 model, Asurada's third iteration, debuted in 2016. Designed by Claire Fortan to replace the SA-01, it first raced at the Africa Grand Prix. Its AKF-11/A variant executed the Inertia Drift maneuver, securing Hayato's victory in its debut despite sustaining damage, and claimed the 11th Cyber Formula World Grand Prix championship that season. During 2017, the AKF-11/A won four consecutive races before a high-speed collision at the British Grand Prix caused extensive vehicle damage and severe injury to Hayato, resulting in Sugo Asurada's championship loss.
After Sugo Grand Prix acquired Theodolite T.T. (renamed Sugo Winners), the AKF-11/A continued service in 2018 due to Asurada's persistent recognition lock. Performance limitations arose from its retained 2017-spec engine and Hayato's psychological trauma from the crash, initially preventing Aero Boost usage. These were overcome during the Norway Grand Prix with external support. Later that season, the upgraded AKF-11/C variant featured a lighter chassis, Union Savior's CCE V12/S engine, and extended 36-second boost capability. It won the 2018 Japan Grand Prix through coordinated tactics with Henri Claytor and mastery of Inertial Drift, contributing to Sugo Winners' championship victory.
The AKF-11/C competed through 2019 as car No. 2, achieving early successes before being outpaced by rivals like the Stihl HG-165 in later races. Its competitive history concluded after a final collision at the Australia Grand Prix cost Hayato the championship, leading to retirement in favor of the Garland SF-03 for 2020. Documented variants include the original AKF-11/A and engine-upgraded AKF-11/C. Asurada's operational characteristics encompass adaptive racing strategy formulation and real-time performance optimization, with its AI core maintaining driver-specific pairing protocols during its service life.