Connect your existing simulators
The NeGSiS platform offers standard support for a large selection of interfaces and protocols, ensuring seamless connectivity and integration for any extension.
Whether a system needs Wi-Fi, Ethernet, Bluetooth, or specialized MIL SPEC protocols, the NeGSiS comprehensive support and experience guarantee flexibility, reliability and fast implementation. All variants can be used in combination with the NeGSiS Encryption module.
Set up data driven competence building
NeGSiS is pioneering the future of pilot training with an advanced AI Large Language Model (LLM) that can be trained using flight data and instructor feedback. By leveraging sufficient flight data and written evaluations from instructors, our AI can provide automatic scoring and detailed feedback after each flight session.
Automated Scoring and Feedback – NeGSiS ensures that ALL available data during simulations is meticulously logged for comprehensive reporting and debriefing. This includes performance metrics, scenario details, and pilot actions. The logged data serves multiple critical functions. Our AI delivers immediate, consistent, and objective evaluations, allowing pilots to understand their performance and areas for improvement right after each session.
Optimized Instructor Resources – Instructors are among the scarcest resources in pilot training. By offloading routine evaluation tasks to our AI, instructors can focus on more complex and critical training aspects, thereby enhancing overall training quality. Having all data securely logged and accessible to instructors, providing them with detailed insights into each pilot’s performance enables instructors to evaluate progress accurately and identify specific areas where the pilot may need additional focus.
Increased Flight Time – Using the comprehensive data, instructors can prepare a tailored pipeline of exercises that target each pilot’s individual weak spots. This personalized approach ensures that training is highly effective and addresses the unique needs of each pilot. With automated feedback in place, pilots can spend more valuable time in simulators, leading to higher training yields and more effective skill development.
Scalability and Efficiency – Our AI-driven system allows training programs to scale without being limited by instructor availability, making it possible to train more pilots efficiently. By integrating our AI LLM into your training programs, you can ensure that pilots receive the highest quality training while maximizing the efficiency and effectiveness of your instructor resources.
Use of Biometrics
The platform already supports connectivity with advanced devices such as the TeslaSuit and Garmin pulse watches.
Heart Rate during missions can easily be monitored, using modern Sports watches. Garmin Fenix 7 is integrated into the NeGSiS ecosystem.
NeGSiS offers a cutting-edge platform designed to develop and integrate various biometric sensors, enabling comprehensive data logging and analysis. This opportunity empowers the development of sophisticated biometric solutions tailored to enhance simulation and training experiences.
A TeslaSuit integrated into the NeGSiS platform allows:
- Advanced haptic feedback to pilots during simulation
- Full pilot motion capturing during simulation can be stored.
- Full body TENS/EMS Electrical Muscle Stimulation can be enabled to help or stress pilot during a session
- Optional logging of pilot biometrical data during session
Sharing information is key for improving performance and for spotting talents and selecting recruits
Comparing performance is a key method for fostering individual growth and developing a higher-performing team. By analyzing performance over time, it becomes possible to identify strengths and weaknesses in each participant, providing a foundation for targeted skill development and optimization. This not only helps the individual grow but also enhances the team as a whole, creating a continuous improvement cycle and fostering better collaboration.
A crucial part of this process is identifying trends and focus areas that can be used to analyze performance across both individual talents and specific sessions. This form of data-driven scouting, commonly seen in modern sports, offers a systematic approach to spotting patterns and predicting potential based on objective metrics rather than subjective assessments. It enables talent to be identified quickly and accurately.
By comparing performance over time and between individuals, it becomes easier to identify top talents with the greatest potential, ultimately saving both time and money in the recruitment and training processes. This approach allows organizations to make more informed decisions, benefiting not only the individual but also contributing to the overall strengthening of the team’s performance.