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We wrapped up a tremendous week at Auki Labs by hosting our first "Papers and Beers" event, bringing together the brightest minds in the local robotics and computer vision community to discuss scene reconstruction and the future of spatial AI. Our recent article on X, "A Simple Recipe for Winning Robotics," has already passed 120,000 views, confirming that our pragmatic, perception-first approach to robotics is resonating deeply across the industry.
During this week's community update, we demonstrated significant technical leaps across our spatial AI platform, from giving AI the ability to reason in 3D space to enabling live teleoperation of retail robots.
We are expanding our retail footprint, preparing for a pilot with the largest retailer in a new European country. This retailer brings $15 billion in revenue across approximately 2,000 locations—the exact sweet spot for our spatial computing infrastructure.
Beyond retail, the real world web is officially entering agriculture. In collaboration with Bud Break, their Mars Rover-style vineyard robots are now connected to our network. These robots scan vineyard aisles to identify healthy versus diseased grapes. By building a 3D reconstruction of the environment, we can guide farmers directly to problematic areas using augmented reality on their phones.
A major hurdle for large brands like Unilever and Coca-Cola is the cost of verifying shelf compliance. As we learned from a major brand, "the average cost for them to do one inspection is a hundred dollars."
To solve this, we demonstrated live teleoperation of our wheeled camera arrays in the lab. A brand representative can now remotely command a deployed robot to navigate autonomously to a specific shelf or product—like the Coca-Cola section—and verify the planogram without leaving their desk or revealing irrelevant store data.
Currently, "AIs, even the frontier models, are terrible at understanding 3D." They struggle with spatial reasoning because they lack grounding in physical geometry.
Our team has developed CLI tooling that allows AI agents to interface directly with Universal Scene Descriptor (USD) files and utilize traditional spatial computing methods (like ray casting) to answer complex, metrically accurate questions about a 3D space without hallucinating.
In our demos, the AI successfully:
This represents a massive leap forward: AI can now construct, analyze, and query representations of the world with absolute metric accuracy.
We are transitioning our augmented reality rendering away from the Unity game engine and directly into native tools like Metal. This dramatically reduces jitter, improves frame rates, and extends battery life, allowing for more complex scenes—like animating 1,000 objects simultaneously on a phone with unparalleled performance.
For our network participants, a new dashboard is entering QA. This dashboard will provide complete transparency into domain participation and reconstruction tasks, showing exactly what tasks your node completed (e.g., Gaussian splatting) and the corresponding $AUKI rewards earned.
As always, if you want to test these tools or join the conversation, come hang out in our Discord.
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.
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