Use case: AI

The future is transparent.

Chromia gives you the pieces to decentralize AI. An agent keeps structured memory, signs its actions with its own identity, and runs vector search the chain handles natively.

Vector database extension

Vector DB, on-chain.

Vector database on Chromia

Chromia is one of the only Layer-1s with native support for vectorized data. A vector database is what lets an AI workload do similarity search and real-time recommendations against its own context.

You can use it from a Chromia dapp, from an external chain, or from a Web2 client that wants the work to be transparent.

Neural Interface

An agent’s brain, on-chain.

Neural Interface on Chromia

Chromia handles data well enough to hold an AI agent’s memory, both short term and long term, the way a human brain does. You manage interaction logs and decide what the agent keeps, so it stays aware of its own history instead of starting fresh every session.

Data & AI Ecosystem Fund

$20M for data and AI.

$20M Data & AI Ecosystem Fund

We launched this $20M fund in September 2024 to back data-intensive, AI-driven projects with partnerships and investment.

It supports teams building on Chromia, teams plugging Chromia in as a utility layer, and Web2 companies that want to decentralize their data.

Start building

Ready to build? We’re ready for you.

Building AI agents and AI-driven apps on Chromia is straightforward, and the tooling keeps growing. You get a Postchain Python client, a GOAT SDK implementation, and a Rell extension for VS Code, plus tutorials written for agent work.

Community

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270k users around the world are already part of the journey.