CT-PATH™
Digital "Air Mapping" Systems | Data Collection |
Object Avoidance Algorithms & Sensors
Blockchain connected & monetized private user network
Pedram Nimreezi, a well known AI architect/deep learning and software developer, is in charge of this project as his experience in the AI and neural network field is extensive and well grounded. The creation of the CT-Path ™ relies on his expertise and the execution of the rest of the team to complete a machine deep learning onboard system that will learn as it goes and provide real time data back to every vehicles in our fleet and more.
Advanced digital mapping systems for three-dimensional airspace navigation.
Real-time environmental and flight data collection for optimal route planning.
AI-powered algorithms and sensors for autonomous obstacle detection and avoidance.
Secure, monetized private network connecting all fleet vehicles and users.
Investment Phases
Structured investment opportunities with clear milestones
Timeline: Q4 2026 — Q3 2027
Develop the core air mapping algorithms, sensor integration for object avoidance, and initial blockchain network architecture.
0% funded
Min Investment
$10,000
Max Investment
$500,000
Equity Offered
2-4%
Investors
0
Phase Deliverables: