TinyTriangle Engineering
Triangle is a hardware design lab that tackles difficult problems in hardware, robotics, and autonomy, taking projects from a hard brief to a built, tested, and working machine. The lab's design engine applies AI throughout the process—framing problems, searching for designs, and checking results—enabling a small team to move quickly. Recent work includes a six-axis industrial robot that mills stone, changes its own tools, and checks its own work for automated stonemasonry.
- Robotics
- Artificial Intelligence
- Aerospace
- Drones & Uncrewed Systems
- Autonomous Vehicles
- Mobility & Transportation
- Automotive Technology
- Hardware
- Defense Tech
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Developing autonomous systems typically requires separate, specialized hardware and software stacks for each domain—aerial, ground, and robotic—leading to high engineering costs, fragmented development efforts, and slow deployment cycles. Companies must invest heavily in custom integration work to make different autonomous platforms work together or even individually.
Solution
Triangle provides a unified autonomous systems platform where one universal brain and one software stack power all machines, from VTOL jet drones and helicopters to humanoid robots and self-driving vehicles. The Triangle Controller, built on NVIDIA Jetson compute, delivers consistent AI processing power across every product, eliminating the need for domain-specific hardware development. This approach allows customers to deploy multiple types of autonomous machines using the same core technology, reducing integration complexity and accelerating time to deployment. The platform supports a range of form factors including aerospace, robotics, and automotive applications, all managed through a single software ecosystem.
Target Audience
Primary customers include aerospace and defense organizations, robotics research labs, automotive developers, and enterprises seeking to deploy autonomous systems across multiple domains without maintaining separate hardware and software platforms.
Features
- Universal brain architecture: One Triangle Controller with NVIDIA Jetson compute powers all autonomous machines, ensuring consistent performance and AI capability across domains
- VTOL jet drone and helicopter platforms for aerial applications requiring high-speed or long-endurance flight
- 6-DOF robotic hand and micro humanoid robot for dexterous manipulation and human-robot interaction research
- Full-DOF hand and full-size humanoid in development for advanced robotics applications
- Autonomous Dev Kit for automotive: a complete vehicle platform for developing and testing self-driving algorithms
- Unified software stack that manages flight control, navigation, manipulation, and driving across all form factors
- Current project: a six-axis industrial robot that mills stone, changes its own tools, and checks its own work for automated stonemasonry