Intuition launches its layer 3 Information Finance-driven mainnet to build a decentralized trust layer for AI and the internet following an $8.5 million funding round.

Summary

  • Intuition has officially launched its mainnet after raising $8.5 million in funding, marking its transition from testnet to full production as it builds a decentralized infrastructure for verifiable, on-chain information in the AI and Web3 sectors.
  • The network introduces a novel data model using Atoms, Triples, and the $TRUST token to create a Token Curated Graph that enables users and AI systems to access, verify, and monetize information.

According to a press release received by crypto.news, Intuition protocol has officially launched its mainnet on Oct. 29. The milestone marks the company’s transition from beta and testnet phases into full production, as it aims to establish a “public, composable trust layer” for the internet and artificial intelligence.

The mainnet enables developers and AI systems to create, curate, and access verifiable on-chain data as it aims to power the Information Finance sector. The protocol claims that its infrastructure can turn information into a “programmable, verifiable, and monetizable asset class.”

The Intuition network runs as an Arbitrum (ARB) Orbit Layer-3 rollup settling to Base (BASE), optimized for high-throughput information operations. This technical design allows the mainnet to achieve high throughput and low transaction costs, which are essential for managing vast amounts of on-chain data and metadata

The launch comes after a successful beta test on Base which drew in more than 244,000 users. The testnet processed more than 5.3 million transactions and over 5.1 million verified attestations. In fact, the most recent testnet cycle recorded more than 17.5 million transactions from over 900,000 unique accounts within a period of eight weeks.

So far, Intuition has garnered a total of $8.5 million in funding, combining earlier venture investments with proceeds fro

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Author: Trisha Husada

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