Tokenomics
Last updated
Last updated
BeeARD is a nonprofit organization established to accelerate and foster progress in scientific research. It is designed to be both self-sustaining and self-improving. BeeARD utilizes a cryptographic token value flywheel to build self-sustainability, generating cash and IP token revenues from BeeARD-assisted research, pairing those IP tokens with BeeARD in liquidity pools, and enabling BeeARD token holders to farm those IP tokens. BeeARD utilizes reinforcement learning to foster a self-improving research ecosystem through a continuous feedback loop—as discoveries emerge, their data generated and their tokenization fuel further advancements in BeeARD’s infrastructure, agent capabilities, and collective intelligence.
Total Supply: 1,000,000,000 BeeARD
LP on Base
15%
No vesting; available at launch
PsyDAO (Initial Sponsor)
10%
Unlocked, but dedicated solely to providing liquidity (LP)
Partners
10%
Unlocking per OTC round terms; first unlock after 1 year
Team
15%
Unlocking over 3 years with a 1-year cliff
$PSY Farming
5%
Specific program details TBD (e.g., rewards schedule)
Ecosystem Rewards
45%
Unlocking determined case by case for data/compute/code contributors and other ecosystem needs
The 45% allocated to ecosystem rewards incentivizes community members, researchers, programmers and data or compute providers. The exact unlocking terms vary based on BeeARD’s governance decisions.
When BeeARD discovers new IP and it’s tokenized, BeeARD’s treasury gains IP tokens, which can be farmed by BeeARD token holders.
The project was originally founded by PsyDAO. The majority of tokens are allocated for community incentives, ensuring that real power and ownership belong to the contributors—those who actively build, research, and shape the project's success.
The 5% of tokens are reserved for farming with $PSY token, a native token for PsyDAO that initially funded this project, subject to PsyDAO governance.
The BeeARD token is an IP token minted using the to governs the BeeARD system’s architecture, models, generated data and derivative IP.
