Intelligent Internet

Intelligent Internet

Open-source distributed AI datasets and models

Overview

Intelligent Internet II builds and maintains an open-source, distributed AI system to broaden access to artificial intelligence. It provides open datasets and models to communities, healthcare, and education, aiming to align AI development with human values and treat AI as a public good. The system operates through collaborative, decentralized development so that users can contribute data, models, and tools, enabling widespread use and governance of AI. Its approach focuses on democratization and collaboration rather than proprietary control, distinguishing itself from closed, centralized AI platforms. The overall goal is to create a digital civilization where AI empowers individuals and communities, improving health outcomes and societal potential while ensuring AI benefits are shared broadly.

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About Intelligent Internet

Simplify's Rating
Why Intelligent Internet is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

AI & Machine Learning

Education

Healthcare

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2025

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Simplify's Take

What believers are saying

  • Benchmarks like 61.8% Terminal Bench and 45.1% SWE Bench Pro aid sales.
  • II-Researcher expands the platform into research workflows and knowledge work.
  • Universal AI access tiers and edge-node participation suit schools and nonprofits.

What critics are saying

  • Open-source licensing enables forks and weakens pricing power quickly.
  • OpenAI, Anthropic, and Google can outspend II on quality and distribution.
  • Governance and Proof-of-Benefit economics may fail to achieve durable adoption.

What makes Intelligent Internet unique

  • II-Agent V1 is production-ready and fully open source under Apache-2.0.
  • Common-Ground enables permissionless coordination across distributed AI agents and datasets.
  • Open, auditable datasets with on-chain provenance support compliance-oriented deployments.

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