FastLane AI

Elevator Pitch: At FastLane AI, we revolutionize autonomous driving with our cutting-edge real-time optimization software, delivering unbeatable performance and efficiency that propels vehicles into the future, today. Imagine your autonomous vehicles smarter, faster, and safer—welcome to the fast lane of AI-driven control.

Concept: Real-time optimization for autonomous racing and driving systems

Objective: Offer an advanced optimization controller software that enables high-performance autonomous driving with improved operational efficiency.

Solution: Develop a robust software package built on an efficient inexact model predictive control (MPC) algorithm, enhancing autonomous vehicle control with rapid, feasible solutions.

Revenue Model: Licensing the software to autonomous vehicle manufacturers, offering subscription-based updates, and providing tailored solutions for specific use cases in autonomous systems.

Target Market: Autonomous vehicle manufacturers, high-performance racing teams, drone operators, and robotics companies.

Expansion Plan: Extend the software capabilities to cover different forms of autonomous transportation and smart city applications, adapt it for use in drones and robotics, gather strategic partnerships for further R&D.

Potential Challenges: Initial industry adoption, ensuring software compatibility with a variety of platforms, continuous improvement to stay ahead of competition.

Customer Problem: The need for high-performance, low-latency control systems in the autonomous vehicle industry.

Regulatory and Ethical issues: Comply with international standards for vehicle safety and autonomy, address data privacy and security in autonomous operations.

Disruptiveness: The software can streamline real-time decision-making processes, outperforming traditional MPC methods in both speed and computational efficiency.