Emilio Frazzoli
Co-founder
Motional
Motional builds end‑to‑end driverless vehicle technology that enables fully autonomous ride‑hail and delivery services. Its platform combines AI‑driven perception, redundant planning and control, and a scalable software architecture to integrate safely into mobility networks, allowing operators to launch large fleets of Level‑4 autonomous vehicles with a passenger‑focused experience.
- Artificial Intelligence
- Autonomous Vehicles
- Automotive Technology
Updated 5 months ago
Funding
Raised to date
$16MRaised 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
Karl Iagnemma
Co-founder
Product
Problem
Current transportation relies on human drivers who are prone to fatigue, distraction, and error, limiting the safety and scalability of ride‑hail and delivery services. Deploying fully autonomous vehicles at scale is hindered by fragmented technology, uncertain safety standards, and integration challenges with existing mobility networks.
Solution
Motional develops end‑to‑end driverless vehicle technology that enables fully autonomous ride‑hail and delivery operations. The company combines advanced perception, planning, and control algorithms with rigorous safety engineering to create vehicles that operate without drowsiness, intoxication, or distraction. Its platform is designed for seamless integration into mobility networks, allowing operators to launch autonomous services quickly and reliably. By focusing on both vehicle performance and passenger experience, Motional aims to make driverless transportation safe, dependable, and accessible for everyday use.
Target Audience
Primary customers are mobility service providers, ride‑hail platforms, and logistics companies seeking to operate large fleets of fully autonomous vehicles.
Features
- Integrated sensor suite and AI‑driven perception stack for real‑time environment understanding
- Redundant planning and control systems that meet automotive safety standards (ISO 26262, SAE Level 4)
- Scalable software architecture that can be deployed across fleets for ride‑hail and goods delivery
- Human‑in‑the‑loop data annotation platform to continuously improve model accuracy from real‑world driving data
- Passenger‑focused cabin design and user interface to enhance comfort and trust in autonomous rides