AMTIL offers a web‑based platform for aviation maintenance training that combines interactive 3D aircraft component visualizations with a machine‑learning adaptive curriculum. The system delivers searchable part encyclopedias, video lessons, and gamified workshop simulations across desktop, tablet, and mobile browsers, with an instructor dashboard for tracking competency and assigning modules. It targets maintenance schools and airline/MRO technicians and is sold via a subscription model.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional aviation maintenance training relies on static textbooks and limited hands‑on practice, which does not accommodate diverse learning styles, rapid technology updates, or the growing need for skilled technicians.
Solution
AMTIL provides a web‑based learning platform that combines interactive 3D visualizations of aircraft components with a machine‑learning driven adaptive curriculum. Learners can explore a searchable encyclopedia of parts using real‑time rendered models, follow video lessons that adjust pacing to individual progress, and later engage in game‑style workshop simulations. The adaptive engine personalizes content sequencing based on performance data, reinforcing weak areas and accelerating skill acquisition. The platform is accessible via modern browsers on desktop, tablet, or mobile devices and is built for future integration with consumer VR headsets to enable immersive maintenance practice. Instructors receive a dashboard for assigning modules, tracking competency metrics, and generating performance reports. Community features such as chat and forums facilitate peer collaboration and instructor interaction. All user data are encrypted in transit and stored securely in compliance with industry standards.
Target Audience
Primary customers are aviation maintenance schools, Part‑147 training providers, and airline or MRO technicians seeking supplemental digital training resources.
Features
- Real‑time interactive 3D models and animations of aircraft systems rendered within a browser environment
- Adaptive learning engine that leverages machine‑learning algorithms to personalize lesson sequencing and difficulty based on learner performance
- Multilingual support for English, Spanish, and Mandarin, offering both text and audio content
- Responsive web application compatible with modern browsers on desktop, tablet, and mobile devices
- Modular content library including an encyclopedia, video lessons, and gamified workshop simulations (currently in development)
- Instructor dashboard with progress tracking, analytics, and content assignment tools
- Planned integration with consumer VR headsets (e.g., Oculus Quest) for immersive, hands‑on maintenance scenarios