DeepNode Launches Open AI Network with $5M Funding, Targets Healthcare and Finance by 2026

December 5, 2025
DeepNode Launches Open AI Network with $5M Funding, Targets Healthcare and Finance by 2026
  • DeepNode distinguishes itself with a unique approach to governance and contribution, emphasizing real-world utility.

  • The network is framed as an open intelligence infrastructure designed to let AI developers, compute providers, and validators collaborate and earn rewards without relying on centralized tech giants.

  • Developers retain intellectual property rights within the network, and participation can be private or public, preserving open collaboration alongside commercial safeguards for institutional users.

  • Funding supports a multi-year roadmap to build an open intelligence network that prioritizes collaboration, transparency, and contributor ownership.

  • The network uses Proof-of-Work Relevance (PoWR), rewarding contributors for real-world utility and performance rather than just computational output.

  • PoWR evaluates AI contributions by usefulness and impact, with models evolving according to real-world performance and outcomes.

  • DeepNode’s PoWR mechanism ties rewards to the practical value of AI outputs, aligning incentives with performance and impact.

  • DeepNode provides a contact for press inquiries through spokesperson Jeffrey Kaele at [email protected].

  • DeepNode differentiates itself with a multi-tool approach intended to support any predictive or decision-making task across industries rather than focusing on a single model or use case.

  • This multi-tool approach enables handling diverse predictive and decision-making tasks across sectors, setting it apart from projects centered on one use case.

  • DeepNode is built on Base, an Ethereum Layer-2, to keep transaction costs under a cent while leveraging Ethereum security, with a mainnet rollout planned by the end of Q1 2026.

  • The project aims for low-cost scalability on Base, with mainnet launch by early 2026 and domains already under development across multiple verticals.

  • DeepNode operates on Base to achieve sub-cent transaction fees and a targeted mainnet launch by the end of the first quarter of 2026.

  • This is a sponsored press release; the information reflects the company’s announcements and should be considered informational rather than financial or legal advice.

  • Foundation-supported domains across multiple verticals are planned to expand ecosystem coverage and enable sector-specific capabilities and deployment.

  • The development of foundation-supported domains across several verticals is already underway, with funding aimed at driving broader adoption and ecosystem collaboration.

  • A 2026 mainnet launch is planned with applications spanning healthcare, finance, trading, and more, while offering private participation options and IP ownership for contributors.

  • DeepNode has secured $5 million in seed and strategic rounds from Web3 and AI infrastructure investors and community participants, with a $25 million seed valuation and a $75 million strategic valuation.

  • The strategic round was led by a consortium of Web3 and AI infrastructure investors, providing enterprise integration, scaling, and go-to-market expertise.

  • DeepNode aims to power predictions across healthcare, finance, trading, and beyond, building an open intelligence network rooted in decentralized principles and contributor ownership.

  • The seed round was community-driven, including validators, miners, and early adopters, with support from partners like Gateway.FM and validators WildSageLabs and Rizzo.

  • The platform targets industries such as healthcare diagnostics, fraud detection, and cryptocurrency trading for predictive and decision-making tasks.

  • Key benefits include builders retaining IP, contributors earning based on performance, and enterprises having private participation options while leveraging network effects.

  • DeepNode stresses intellectual property ownership for builders, performance-based rewards for contributors, and private participation options for enterprises within a network that benefits from shared effects.

  • The announcements reflect a broader industry shift toward open, permissionless AI infrastructure prioritizing real-world utility and model performance over sheer compute.

Summary based on 6 sources


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