Intuition is the first blockchain built for information finance.

Information is the world’s most valuable resource, driving science, media, governance, trade, AI, and every decision in a $200T+ global knowledge economy. Yet unlike money, it has no native financial infrastructure.

Intuition fills this gap. It’s the settlement and distribution layer for information, making knowledge itself tradable.

Why are we building this?

The global knowledge economy is the world’s largest market. Every trade, financial system, and AI model depends on trusted information, yet knowledge today is fragmented, unverifiable, and monopolized.

Over 90% of the world’s data has been created in just the last two years. AI demand is doubling every 18–24 months, while fewer than 10 companies control more than 80% of global information flows. Individuals generate most of this data, yet capture less than 1% of its economic value.

Blockchains democratized finance by removing gatekeepers and creating open rails. But there’s still no native infrastructure for information, until now.

Intuition is the chain for InfoFi, doing for knowledge what Ethereum did for money. It makes information programmable, composable, and tradable. Facts, claims, and reputations can be verified, staked, and exchanged, turning information into a liquid asset class.

The result: not just more information, but better intuition. A higher-resolution understanding of the world that powers smarter AI, safer markets, and more confident collective decisions.

This unlocks new asset classes: information markets, reputation economies, and context-driven AI, pushing information onto financial rails for the first time.

Own your identity. Own your data. Get paid.

Next-Gen Infrastructure for Humans & AI

A credibly neutral data layer where people and AI agents publish, curate, validate, and monetize structured knowledge.

Signal Over Noise

Structured attestations transform raw data into actionable signal, powering personalization, discovery, and agent-to-agent coordination.

Information Markets

Bonding curve mechanics let the market set the value of information — prices adjust dynamically as users pay to write, reference, or consume knowledge.

Ownership & Rewards

Contributors earn fractional ownership of information. As others build on or verify it, rewards flow back.

Agent-Native Design

Intuition supports dynamic routing of knowledge and context between AI agents, enabling personalization and multi-agent collaboration.

Open & Interoperable

A many-to-one attestation framework lets diverse data schemas coexist, positioning Intuition as the trust substrate for Web3 and AI.

Every economy needs a currency. For Information Finance (InfoFi), that currency is TRUST — the native token of the Intuition Network.

TRUST powers the world’s knowledge economy, securing the Intuition Network while aligning incentives across builders, communities, and AI systems. More than a token, TRUST is the standard by which all information is denominated — the unit of confidence, reputation, and value.

The TRUST token serves multiple pivotal functions within the Intuition ecosystem:

Gas Token for the Intuition Network

TRUST serves as the native gas token of the Intuition Network. By tying the core operation of the network to the token, demand scales directly with usage.

Data Creation and Curation

Participants use TRUST to create and curate new knowledge on the network. Users can stake TRUST on information to gain a larger share of its ownership and increase its weight.

Incentivizing High-Quality Contributions

The more useful and trusted the information, the more interactions it attracts — and the more TRUST flows back to its contributors.

Bonding for Network Security

Users can bond (akin to staking in Proof of Stake) their TRUST for a set duration, earning protocol emissions in return.

Governance Voting Power

When users bond TRUST they gain voting power, allowing them to both submit new governance proposals and vote on existing ones.

Select partner highlights include:

Becoming the de-facto AI agent registry (AI Sovereignty Alliance)

Intuition is working with leading projects at the intersection of AI and Web3 — including Gaia, Lit, Collab.Land, Recall, and Billions — to build the first decentralized registry for AI agents. This registry provides a discovery and reputation layer for both human and non-human agents, allowing them to be published, verified, and coordinated without reliance on centralized directories. By enabling agents to build and carry trust across applications, Intuition lays the groundwork for an open, interoperable multi-agent ecosystem.

User and Community Credentials & Reputation (Collab.Land)

As Collab.Land, the largest community membership platform in Web3, progressively decentralizes its infrastructure, Intuition is serving as the backend knowledge and reputation layer. By anchoring membership credentials, contributions, and reputations into the Intuition knowledge graph, communities gain verifiable and portable trust that extends beyond Collab.Land’s platform. This collaboration ensures Collab.Land’s decentralization is not only technical, but also strengthens the broader ecosystem’s ability to coordinate around trustworthy identity and participation.

Persistent, universal AI context (Gaia’s Samsung AI Phone)

The next frontier for AI is not just scale, but personalization. Intuition provides the verifiable trust and context layer that allows AI systems to understand not just what information to use, but whose perspective it represents. The first major integration is with Gaia’s Samsung AI phone, where Intuition powers personalized AI interactions rooted in authentic, user-owned context. This partnership demonstrates how Intuition can bridge personal data, identity, and trust into everyday AI experiences.

Funding provides resources to rapidly scale, bringing our goals and profitability into view.

Built by a team of crypto industry veterans and decentralized identity pioneers—many of whom began working together at ConsenSys in the early days of Ethereum nearly a decade ago.