Auki just improved its price-tag detection model from 51.7% to 90.1% F1 score using community-contributed retail shelf data.
The network also added a new heavy-lifting robot capable of carrying up to 50kg.
$AUKI still sits near a ~$6.6M market cap.
Why is the market barely valuing a project already training real-world robotics and machine perception systems?
Auki is building a decentralized spatial computing and machine perception network.
The goal is helping AI systems, robots, and XR applications understand and interact with physical environments.
The ecosystem focuses on:
• Spatial mapping
• Machine perception
• Robotics infrastructure
• Community-contributed training data
• Decentralized spatial computing
The idea is that machines should be able to share and improve their understanding of the physical world instead of operating in isolated systems.
That makes Auki different from most AI projects focused on models, compute, or chat interfaces.
There are still obvious challenges.
Machine perception and spatial computing remain early-stage markets.
Long-term success depends on:
• Hardware adoption
• Data contribution growth
• Robotics partnerships
• Real-world deployment at scale
Supply is another factor:
• Roughly 1.25B tokens are circulating
• Total supply remains significantly higher
• Future value depends more on network adoption than token scarcity
At the same time:
• No major exploit history surfaced
• No public governance controversies emerged
• Community participation continues contributing directly to model improvements
Tokenomics
• Price: ~$0.005
• Market cap: $6.61M
• Circulating supply: 1.25B
• Total supply: ~10B
Always take whatever you read on the internet with a pinch of salt, do your own research, NFA.
