Sam Poirier
CEO
PM
Potential Motors
potentialmotors.com
Website unreachable since Oct 23, 2026
Potential Motors develops Terrain Intelligence, a self-learning software platform that utilizes cameras and AI to analyze and interpret complex terrain for vehicles. This technology enhances off-road driving by enabling vehicles to autonomously adjust driveline and suspension settings, improving safety and performance for drivers of all experience levels.
- Artificial Intelligence
- Autonomous Vehicles
- Hardware
- Software Only
Updated 7 months ago
Funding
Raised to date
$6.2MRaised 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
Off-road driving presents challenges for drivers of all skill levels due to the complexities of varying terrains. Selecting the correct vehicle settings for optimal performance and safety can be difficult, leading to decreased efficiency, potential vehicle damage, and increased risk.
Solution
Potential Motors offers Terrain Intelligence, an AI-powered software platform that analyzes terrain using vehicle-mounted cameras and sensors. This system interprets the terrain ahead, identifying features such as shape, incline, surface type, and obstacles. By understanding the environment, Terrain Intelligence enables vehicles to proactively adjust driveline, suspension, and torque settings in real-time. This technology enhances vehicle performance, improves safety, and extends range, allowing drivers to navigate complex terrains with greater confidence and ease.
Target Audience
The primary target audience includes automotive manufacturers of off-road vehicles, electric vehicle companies, and developers of autonomous driving systems seeking to enhance vehicle performance and safety in complex environments.
Features
- Terrain analysis using forward-facing cameras, radar, and lidar
- AI-driven interpretation of terrain shape, incline gradient, surface type, and obstacles
- Real-time adjustment of driveline, suspension, and torque settings
- Hardware-agnostic design compatible with existing onboard cameras
- Modular and scalable architecture for integration with existing control logic or full control via Off-Road OS
- Compatibility with traditional ICE and electric vehicle platforms
- Up to 12% increase in range for electric vehicles
- On-vehicle computation for real-time performance and reduced reliance on external connectivity