Tripleye provides an integrated data platform, software stack, and toolchain to automate machines and operations into intelligent, autonomous systems. Their technology includes 3D modeling, simulation, and an AI/ML platform to refine outputs and provide real-time insights. The modular autonomous software modules and SDK enable seamless integration for developing and deploying next-generation autonomy in demanding environments.
Funding
Funding not disclosed

Founders
Product
Problem
Developing autonomous vehicles requires extensive time and resources due to the complexities of 3D perception, simultaneous localization and mapping (SLAM), and motion planning. Traditional development cycles for autonomous systems can be lengthy, often taking years to achieve full autonomy.
Solution
Tripleye provides technology modules designed to accelerate the development of autonomous systems, enabling teams to build autonomous vehicles in significantly less time. The platform offers a suite of solutions including 3D perception, SLAM, path and motion planning, object recognition and tracking, and motion control. These modules are designed to be integrated into existing systems, transforming complex machines and processes into intelligent, autonomous systems. Tripleye's approach allows for rapid deployment and testing, facilitating the creation of autonomous solutions for various industries.
Target Audience
Tripleye's primary customers include businesses ranging from SMEs to Fortune 500 companies across industries such as mining, defense, automotive, logistics, and marine, seeking to implement autonomous systems.
Features
- 3D Perception: Provides real-time understanding of the environment in three dimensions.
- Simultaneous Localization & Mapping (SLAM): Enables environmental map creation and updating, along with vehicle pose estimation.
- Path & Motion Planning: Sequences vehicle motion through clear spaces from start to destination.
- Object Recognition & Tracking: Classifies objects and tracks their real-time location within a 3D environment.
- Motion Control: Derives control parameters to execute vehicle motion.
- AI/ML Platform: Processes data through a robust AI platform, refining simulation outputs and providing real-time insights.
- SDK & Development Platform: Allows developers to build and deploy in real time, integrating with the processing pipeline.