COO Santeri Aramo announced significant progress in Auki's SDK this week with the introduction of the "Job Manager," enabling distributed refinement across multiple machines. This development allows the processing of extensive spatial data efficiently, supporting large-scale implementations like massive retail spaces. As Santeri describes, "this unlocks a huge scale of development."
Auki also made remarkable strides with its Gotu Navigation application, now available app-free through App Clips. The enhanced UI and editing capabilities directly within the app clip are set to revolutionize navigation for users across various settings, from retail stores and hotels to airports and hospitals. The app-free format promises easier, faster navigation without the hassle of downloads.
Cactus, Auki’s retail-focused spatial application, saw significant deployment improvements this week. Optimizations have reduced CPU and GPU demands, enabling faster load times and smoother operations. On-the-ground store engagement has reportedly surged, with enthusiastic user feedback from retail staff driving further adoption.
In the U.S., a remarkable pilot project highlighted the efficiency of Cactus. An operator scanned around 2,700 products within a single day, showcasing the system's powerful capabilities. Additionally, Auki identified an exciting new use case during retail remodeling projects, enabling retailers and vendors to visualize and track products dynamically, creating immediate, actionable Realograms.
This week marked the integration of Unity asset imports directly into Mattercraft, accessible through McKenna. The augmented reality platform demonstrated its commercial viability at the LIV Golf Tournament, securing a $10,000 contract, underscoring the potential for community-driven monetization through AR installations.
In robotics, Auki celebrated a major breakthrough by successfully integrating Unitree’s G1 robot into the posemesh spatial domain. This accomplishment opens vast possibilities for robotics interactions within the posemesh environment. Although one partnership with a European robotics firm did not materialize, Auki highlighted promising collaborations with agile Chinese robotics manufacturers, emphasizing the rapid innovation potential in this sector.
Auki is deeply involved in Hong Kong’s pioneering vision for a low-altitude economy. With drone operations expanding rapidly, the posemesh network offers essential shared spatial awareness crucial for coordinating autonomous flying vehicles safely and efficiently. This development highlights the growing necessity for decentralized, peer-to-peer spatial systems to support a secure, autonomous aerial infrastructure.
Finally, Auki announced that its Level 10 Research Center now features a fully-equipped event stage, fostering community events and innovative demonstrations. This vibrant hub is already hosting pioneering startups like Alpha AI, further cementing Auki’s role as a leader in spatial computing and decentralized AI technologies.
Auki is building the Auki network, a decentralized machine perception network for the next 100 billion people, devices and AI on Earth and beyond. The Auki network is a posemesh, an external and collaborative sense of space that machines and AI can use to understand the physical world.
Our mission is to improve civilization’s intercognitive capacity; our ability to think, experience and solve problems together with each other and AI. The greatest way to extend human reach is to collaborate with others. We are building consciousness-expanding technology to reduce the friction of communication and bridge minds.
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The Auki network is a posemesh: a decentralized machine perception network and collaborative spatial computing protocol, designed to allow digital devices to securely and privately exchange spatial data and computing power to form a shared understanding of the physical world.
The Auki network is an open-source protocol that powers a decentralized, blockchain-based spatial computing network. Designed for a future where spatial computing is both collaborative and privacy-preserving, it limits any organization's surveillance capabilities and encourages sovereign ownership of private maps of personal and public spaces.
The decentralization also offers a competitive advantage, especially in shared spatial computing sessions, AR for example, where low latency is crucial.
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