DAT | Data Anchoring Token

DAT Structure

Essential Properties

Data Anchoring Token integrates three essential properties into a unified token structure.

Usage Right

Enforceable permissions over how datasets, models, or computational outputs are accessed and utilized.

Ownership Certificate

Verifiable proof of original contribution, data authenticity, and asset claims.

Value Share

Economic entitlement to future revenue, proportional to the token’s value and share ratio.

Build with DAT

Applications & Usecases of DAT

Onchain Data Licensing

Academic institutions, researchers, or enterprises can publish datasets (medical images, text corpora, or sensor data) as DATs.

Model-as-a-Service APIs

AI startups or independent developers can wrap their proprietary models (e.g. NLP models, classifiers, etc.) in DATs, setting pay-per-use access.

Collaborative Model Ownership & Royalties

Open-source communities or contributors co-create models, each contributor receives a fractional DAT and royalties everytime the model is used.

Tokenize AI Compute & Resource

Cloud/GPU, computing power, ZK providers or even individual node operators tokenize compute hours or specialized resources.

Crowdsourced Data Labeling

Startups can crowdsource data labeling (images, text, audio), mint DATs and contributors earn rewards when that data is used in downstream models.

Permissioned Private AI Workflows

Healthcare providers, legal teams, or fintech can tokenize access to privacy-critical data or models. TEEs and ZKPs guarantee data is never exposed, enabling safe AI buidling.

Personal Data Sovereignty

Individuals can tokenize their personal data (health records, fitness logs, browsing history), retain full control, license data to trusted usage and earn rewards.

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