What is Auki (AUKI)?

By CMC AI
12 October 2025 07:41AM (UTC+0)

TLDR

Auki (AUKI) is a decentralized spatial computing network designed to enable AI and robots to interact with the physical world by creating shared spatial awareness through community-operated infrastructure.

  1. Spatial Web for AI – Provides a decentralized framework for AI/robots to navigate and interpret physical spaces.

  2. DePIN Model – Relies on node operators contributing bandwidth and resources to power the network.

  3. Token-Driven Ecosystem – Rewards participants with $AUKI tokens in a deflationary economy.

Deep Dive

1. Purpose & Value Proposition

Auki aims to bridge the gap between AI and the physical world, where 70% of economic activity occurs. By building a decentralized spatial computing layer, it allows robots, smart glasses, and AI agents to collaboratively map, navigate, and search real-world environments (Auki Labs). This addresses the limitation of current AI systems, which lack contextual understanding of physical spaces.

2. Technology & Ecosystem

The network operates as a DePIN (Decentralized Physical Infrastructure Network), where node operators host relay servers and domain servers. These nodes store digital representations of physical spaces (domains) and route spatial data. Auki’s infrastructure supports real-time sharing of location and sensor data among devices, enabling applications like autonomous robot navigation and AR/VR coordination (BiteyeCN).

3. Tokenomics & Community

$AUKI tokens incentivize node operators and contributors. The deflationary model rewards early adopters, with node operators earning tokens for maintaining network reliability. For example, one operator reported earning a six-figure airdrop after two years of participation. Governance is community-driven, fostering innovation in decentralized spatial applications (Auki Community).

Conclusion

Auki combines decentralized infrastructure, spatial computing, and token incentives to create a "nervous system" for AI in the physical world. Its success hinges on scaling node participation and proving real-world use cases like robotics and AR. Can decentralized spatial networks outpace centralized alternatives in accuracy and adoption?

CMC AI can make mistakes. Not financial advice.