Join the movement and participate on Uniswap.
Participate
With Cactus our goal has always been to keep the deployment and operations barrier as low as possible for our clients. This is what gave Cactus an edge over its competitors who require specialized hardware and/or forward deployed engineers to visit each site for installations and staff trainings. The team has put a lot of effort to making the mobile app very intuitive, so even first day employees with no prior experience can capture the state of their store, get tasks and report issues.
As we are starting to run pilots with robots and gearing up to full deployments in 2027, we want to keep the same simplicity of operations at the core of our products. But robots are much more complicated and very nascent to the field still, they require a constant eye on them to operate, detect issues early, and run repairs and maintenance as needed. This is why we intend to ship every robotic asset with a pair of Oneshot glasses. Oneshot provides the instructions for our customers to get up to speed with with the new robots easily, ask question freely 24/7, and keep a continuously updated knowledge base that helps ship new updates seamlessly as well as keep track of previous issues.
Mika spent most of the month of May at our hacker house in Hong Kong. He got access to some of our hardware to validate the assumption that interactive manuals on glasses with an AI voice interface are a much more natural and quick way of working with unfamiliar hardware compared to notoriously confusing instructions on the manufacturer's website. In one experiment he conducted, people with no prior experience with robots were given the task to unbox Terri and make him walk (Terri is the name of our Unitree G1 robot). One of them was doing it the traditional way running through Unitree's instructions on their website and the other one was using Oneshot for the task.
The experiment showed more than two times faster setup with the same conditions. The interactive interface made it much easier to ask questions instead of searching the manual when something was unclear. The AI on the glasses also proactively detected the current state of the robot and branched to the right part of the knowledge base.
The core of the technology used to build Oneshot is open source and available for other developers to build upon. This github repository has extensive documentation on how to create an example application for Mentra glasses which reads context from an Auki domain that's tied to a physical location or asset: https://github.com/AugmentedCamel/Shipmemory-auki
This video tutorial will run you through the process in great detail: https://www.tella.tv/video/building-a-smart-glass-co-pilot-9k9y
If you have any questions please feel free to reach out on Discord, we'll be happy to help.
Auki is making the physical world accessible to AI by building the real world web: a way for robots and digital devices like smart glasses and phones to browse, navigate, and search physical locations.
70% of the world economy is still tied to physical locations and labor, so making the physical world accessible to AI represents a 3X increase in the TAM of AI in general. Auki's goal is to become the decentralized nervous system of AI in the physical world, providing collaborative spatial reasoning for the next 100bn devices on Earth and beyond.
X | Discord | LinkedIn | YouTube | Whitepaper | auki.com
