Ever wondered why AI models make billions while the people who own the real data behind them get… nothing?
You have data maybe it’s research, financial signals, co-created AI model, or insights no one else has. But handing it over to big platforms means losing control, credit, and any hope of profit.
LazAI gives developers and data contributors a way to share privacy-sensitive data with AI systems while keeping full control over how that data is used. In return, contributors receive Data Anchoring Tokens, known as DATs.
DAT is an on-chain asset you actually own, control, and monetize. By anchoring your data, you get paid every time your data, model, or compute resource is used.
This guide will walk you through encrypting, uploading, registering, and verifying your data. But before diving into the how, let’s look at why it matters.
Imagine you are a medical researcher. You hold a rare disease dataset. Until now, there was no way to share it securely, prove its use, or earn recognition. With DATs, you anchor your data, set terms, track usage, and earn income without giving up privacy.
Why contribute your data:
Unlike other platforms that reward clicks or participation, LazAI values the data itself. By contributing, you help build AI that is owned by users, not platforms. LazAI is the only system where rewards are tied to verifiable inference, not speculation or popularity, making DATs a true measure of data utility.
You will need a development environment set up for Rust, Python or Node.js. You can find full implementation details for each here: https://alith.lazai.network/docs/lazai/data-provider
Follow these steps to go from “I have data” to “I have revenue, control, and recognition.”
LazAI turns your privacy-sensitive data into an asset that supports open AI systems. By encrypting your contribution, anchoring it to a decentralized archive, and validating it through trusted nodes, you retain ownership while earning DAT for your role in the process. They are on-chain records of value, participation and access. They form a foundation for aligning incentives in AI infrastructure that is collaborative, private, and decentralized by design.
To explore more or switch to Python or Rust, refer to the full documentation here.
Follow LazAI on social channels to stay updated on new tools, contributor rewards and governance opportunities. DATs can become a foundational component of decentralized AI.
By anchoring your data with DATs, you are not just participating in a new system. You are actively building a future where intelligence is powered by individuals, not corporations.