The startup develops intuitive interaction systems that enhance human-machine interfaces through XR interaction services and spacesuit technology. This enables users to control multiple systems with reduced effort and minimal training, improving operational efficiency in complex environments.
Funding
$630K raised to dateRaised 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.
Founders
Product
Problem
Operating robots and digital twins often requires specialized skills and training, creating a barrier to entry for many potential users. Existing interfaces can be complex and difficult to master, hindering the adoption of robotics in various industries.
Solution
Ntention develops intuitive human-machine interfaces that simplify the operation of robots and digital twins. Their solutions enable users, regardless of their skill level, to control complex systems with minimal effort. By focusing on user-centered design and natural user interfaces, Ntention aims to bridge the gap between cutting-edge robotics technology and user-friendly control systems, making robotics accessible to a wider audience. They achieve this through product development, robotics UX design, and research, blending design thinking with industry insights to integrate robotics successfully into the workplace.
Target Audience
Ntention's primary customers include companies in the space industry, energy sector, and construction, as well as any industry seeking to integrate robotics and digital twins into their workflows.
Features
- XR interfaces for intuitive drone path planning, allowing users to plan flight paths even when the drone is out of sight.
- Astronaut Smart Glove: A sensor glove that enables astronauts to control drones, robots, and displays with simple hand movements.
- Object-based interaction system minimizing ambiguity and streamlining user experience.
- Hand menu for quick access to key settings and remote waypoint creation.
- World-in-Miniature (WIM) mental model for intuitive navigation within virtual 3D environments.
- Integration with Robot Operating System (ROS) for seamless communication with robotics.