Diana D.
Founder
Neurobotx
Neurobotx develops the Metapilot platform, which utilizes virtual reality, artificial intelligence, and spiking neural networks to create realistic simulations for piloting flying taxis. This technology addresses regulatory hurdles, public acceptance issues, and the need for safety data by connecting gamers with airtaxi models to generate valuable operational insights.
- Aerospace
- Artificial Intelligence
- Augmented & Virtual Reality
- Enterprise Software
- Software Only
Updated 23 months ago
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
The air taxi and urban air mobility (UAM) industry faces challenges related to regulatory approval, public acceptance, and a lack of comprehensive safety data. Traditional methods for pilot training and data collection are expensive and time-consuming, hindering the widespread adoption of this technology.
Solution
Neurobotx offers Metapilot, a virtual-reality (VR) based simulation platform designed to accelerate the development and adoption of autonomous flying taxis. The platform uses realistic simulations powered by artificial intelligence (AI) and spiking neural networks to train pilots and generate operational data. By connecting gamers and prospective pilots with air taxi models in a metaverse environment, Metapilot addresses regulatory concerns, increases public familiarity, and provides crucial safety insights. The platform aims to create a skilled pilot workforce and foster public trust in UAM through immersive training and data-driven validation.
Target Audience
The primary target audience includes air taxi manufacturers, aviation regulators, pilot training programs, and aerospace companies seeking to accelerate the development and adoption of urban air mobility solutions.
Features
- Realistic VR simulations of air taxi flight dynamics and urban environments
- AI-powered pilot training modules with adaptive learning algorithms
- Spiking neural networks for realistic and responsive flight control
- Data analytics dashboard for monitoring pilot performance and identifying safety risks
- Integration with air taxi models from various manufacturers
- Gamified training scenarios to enhance engagement and skill development
- Compatibility with haptic feedback devices for realistic flight control