Phase Blockchain Leverages Smartphones for AI Traffic
The network routes AI agent web requests through mobile internet connections to evade data center rate limits.
Updated on Oct. 29, 2026 in Artificial Intelligence

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Kirill Eves has committed $45 million over four years to the Phase blockchain, which officially launched on October 29, 2026. The network utilizes smartphone internet connections to route web requests for AI agents, bypassing rate limits commonly imposed on data center traffic.
Why it matters
Websites frequently block or restrict automated traffic from data centers, creating a hurdle for AI development. Phase addresses this by crowdsourcing residential-grade connectivity, allowing agents to operate with traffic signatures that appear human.
Flagship smartphones provide between 35 and 45 trillions of operations per second (TOPS) for on-device AI processing. This hardware power enables the network to validate transactions while concurrently routing web traffic.
The players
Kirill Eves
The founder of Unlimit and the primary financial backer behind the Phase blockchain project.
Unlimit
A global fintech firm founded in 2009 that serves over 50,000 businesses.
Phase
A newly launched blockchain network that uses smartphone hardware to facilitate AI agent web traffic.
The details
The Phase Proxy routes requests from AI agents through residential smartphone internet connections, effectively disguising automated activity as personal user traffic. Smartphone owners contribute to the network by sharing their bandwidth and validating transactions, earning tokens for their participation. The system dynamically modulates these contributions based on real-time device status, specifically monitoring current battery levels and the quality of the local network connection.
Timeline
2009: Kirill Eves founds the fintech firm Unlimit.
December 2025: Unlimit reports serving more than 50,000 businesses.
October 29, 2026: Phase launches its blockchain network.
November 2026: Phase plans to launch AI computing and request-routing services.
The Tech Race
Phase attempts to solve the traffic-blocking issues inherent in data center-based web scraping by leveraging a decentralized network of mobile devices. It positions itself against established AI infrastructure providers by moving the source of requests from static server farms to a global, dynamic pool of smartphones.
Smartphone users can currently opt into the network to earn tokens by sharing their internet connections. Following the October launch, Phase expects to introduce broader AI computing services and multi-model routing capabilities in November 2026.
The takeaway
The success of this model depends on whether the network can maintain stable traffic routing at scale using consumer battery and data reserves. Watch for the November 2026 rollout of Phase's planned AI computing service to see how the architecture performs when handling production-level request loads.
Further reading
For more on the infrastructure supporting modern machine learning models, explore our coverage of Artificial Intelligence.
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