DeepNode has raised $5 million across seed and strategic rounds to develop a decentralized AI network built on Base, which will position the project at the intersection of artificial intelligence and blockchain infrastructure. The company said the platform is designed to support developers, compute providers, and validators without relying on centralized technology companies. The seed round valued the company at $25 million, while the strategic round was completed at a $75 million valuation.
The network uses a Proof-of-Work Relevance mechanism that compensates AI contributors based on real-world model performance rather than computational output. DeepNode said the approach is intended to support use cases such as healthcare diagnostics, fraud detection, and crypto-market prediction. Models compete and evolve on the network, with contributors earning rewards according to their utility.
DeepNode is developing on Base, the Ethereum Layer-2 network, to keep transaction fees below one cent while maintaining security. The company targets a mainnet launch by the end of the first quarter of 2026 and plans to support industry-specific domains across multiple verticals.
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