Decentralized science (Desci) and AI agents are new concepts recently introduced to the blockchain world. The concept of decentralized science was created to solve existing problems in scientific research. Desci involves the use of blockchain technology and its features (crypto assets, NFTs, and DAOs) to tackle challenges like limited funding, research transparency, equitable fund distribution, and centralization.

On the other hand, AI agents are intelligent entities trained to make autonomous decisions based on preset goals or environmental data. Since the discovery of Web3 AI agents in 2024, hundreds of crypto AI agents have been launched. However, at the moment, only one project cumulatively stands out as an AI agent and Desci project: BeeARD. BeeARD is the first and leading AI agent on the DeSci track.

Introducing BeeARD: The First AI Agent on the DeSci Track

Source: Beard’s website

BeeARD is a decentralized research ecosystem that combines AI agents with human researchers to increase scientific innovation. It stores patented solutions on-chain, generates hypotheses, and collaborates with trained researchers in BioDAOs to negotiate IP agreements.

Large language models like Chat GPT are linked to a continuously updated knowledge base of scientific literature through APIs. This makes it an all-in-one autonomous researching AI agent, which is really helpful for the BioDAO community.

The project was created to address the stagnating innovation in chemical science caused by traditional technology transfer offices (TTOs). Traditionally, scientific intellectual properties (IP) are granted to a specific company, and rigid rules are attached to the license.

BeeARD corrects this by creating a more flexible licensing structure while maintaining the integrity of the IP. More people can use the new technology, and more use cases can be applied to it while ensuring that everybody knows who the original innovation belongs to.

History of BeeARD

The project was initially proposed by a member of the PsyDAO, @stw2_, and it was called the ARD system. The community voted to create it, so it was incubated and launched in December 2024.

The project was later renamed BeeARD. It is part of the larger BioDAO ecosystem and was built to integrate with OPSY. OPSy is a platform used to recruit participants for psychedelic drug research and rewards them with tokenized IP and partial governance rights.

The whole BeeARD project is funded with 10 ETH and is built in five stages. First is the project initialization and data scraping module, followed by the knowledge graph development, lead generation, and PsyBEE implementation phase.

The final two stages are the research proposal generation module and the system integration and optimization stage. At the end of the development, there is expected to be a specialized large language model for psychedelic research and a PsyBEE bot.

Features of BeeARD: Data Extraction, Hypothesis Generation, and IP Management

Data Extraction

Sometimes, information isn’t always readily available to scientific community members. Sometimes, this important information is hidden purposefully, restricting collaboration and development.

BeeARD addresses this by extracting important data from decentralized research entities and ecosystems using APIs. It intelligently feeds this extracted information to LLMs, which process the data and increase scientific research for its users. Similar to a very intelligent research assistant.

After the research is done, it also helps researchers by extracting information on and creating adequate IP filings and negotiations. This allows the researcher to fully enjoy the benefits of his work without falling victim to malicious deals.

Hypothesis Generation

This leverages the power of LLM, like Chatgbt, to analyze and write adequate scientific problems and solutions using available data. It then presents this in a way befitting of a scientifically trained assistant.

This would help members of the BioDAO community refine their ideas and present them in an executable way. It also makes it easier to get funding since high-quality proposals and presentations can easily attract funds.

IP Management

If a new breakthrough is led by one or two innovators, protecting its intellectual property is easier. However, intellectual property management becomes difficult and complicated in a decentralized setting with multiple participants.

BeeARD takes all the terms of the IP on-chain, turning each breakthrough, chemical combo, or drug into an NFT with the help of a smart contract. Since everything is decentralized and stored on-chain, it can be easily traced to its owner(s) and confirmed.

This approach promotes more freedom and flexibility for researchers and businesses to innovate and collaborate. And it provides a means to own rights to an innovative technology partially.

How Does BeeARD Work? Bio Network, Research Ecosystem, and Large Language Model

Bio Network

The BeeARD project is built on the Bio ecosystem. The Bio Network is a decentralized science (DeSci) layer one project that increases the commercialization and funding of DeSci projects.

The project was designed to allow researchers, pharmaceutical companies, and other stakeholders to collaborate and accelerate drug discovery and development. One of the core functionalities of the Bio Network is improving secure data sharing.

Researchers often have privacy concerns that prevent them from accessing and sharing sensitive data. The Bio Network solves this by providing a responsive data governance mechanism and encryption protocols to ensure compliance with data exchange. The blockchain technology used by BeeARD AI tracks contributions and rewards transparently. This alone can build trust among participants while ensuring data integrity and security against fraud.

Decentralized Research Ecosystem

What makes BeeARD unique is its multi-agentic ecosystem that collaborates with human researchers. Here autonomous research AI agents collaborate, across multiple science fields, alongside human researchers to verify and improve their knowledge base.

This seamless integration of artificial intelligence and human expertise drives innovation. It also gives BeeARD the capacity for collaboration. Through its IP management features, development in the ecosystem can experience a multiplier effect.

Large Language Model

This serves as a decentralized, trained researcher readily available to any member of the BioDAOs. These LLMs assist in data analysis, pattern recognition, and hypothesis generation, effectively augmenting the efforts of human researchers.

When the necessary APIs are integrated into a trained LLM, it becomes an AI agent that can operate alone or with human collaborators. Which provides insights that may not be readily picked up through traditional, manual research methods.

API’s Access

APIs enable software to communicate with other software. They act as the hands and legs of autonomous AI agents because they help the agent retrieve real-time data that improves its decision-making.

The BeeARD APIs are linked to the medical database, IP agreement laws, and the Internet. This way, when recent research and breakthrough discoveries are made worldwide, the API feeds this information to the LLM, keeping it updated.

Since this well-curated verified data set is anchored to the LLM using an API, it prevents hallucination, which is common amongst most LLMs.

BeeARD AI

BeeARD AI is the platform’s AI agent, which delivers curated science updates to its audience (X Followers). Users following BeeARD AI can access the latest DeSci innovations, and complex information is easily assimilated through explainer threads.

BeeARD AI can also engage with other AI agents autonomously. It is worth noting that BeeARD AI’s capabilities extend far beyond engagement and regular research. It can also be used to supercharge deal flow and in Intellectual property (IP) discovery.

To achieve this, BeeARD AI leverages advanced research capabilities to identify top-tier opportunities, pinpointing IP gems that might have gone unnoticed. Analyzing vast amounts of data provides relevant insights tailored to specific needs.

What is the BeeARD Token?

Source: Dextools

BEEARD is the utility and governance token of the BeeARD project. The token has a total supply of 150 million, and its supply is in circulation. There are over 2,200 holders of BEEARD as of February 8, 2025 and the project has amassed a market capitalization of about half a million dollars.

Its tokenomics allocates 15% (22.5 million) to providing liquidity, 50% (75 million) to rewarding miners, 15% (22.5 million) to the core team, 15% (22.5 million) to the PsyDAO, and 10% (15 million) to project partners.

BeeARD vs. DeSci AI

BeeARD AI Agent and DeSci AI Agent are both exciting projects that use AI and blockchain technology. They use similar technology but have different functionalities.

BeeARD AI uses smart contracts to validate and manage IP contributions, while DeSci AI Agent is great at helping scientists work together and share their ideas. It makes it easier for them to use blockchain technology to do their research and share their findings with the world.

BeeARD AI is a multi-agent AI platform that acts as a co-working autonomous AI agent, helping enrich scientific knowledge. Meanwhile, DeSci AI Agent is all about making science more open and fair. It helps scientists share their work and transparently get money for their projects so everyone can see what’s happening. DeSci AI Agent stops at being an AI assistant, while BeeARD goes further into optimizing and managing IPs.

Conclusion

The integration of DeSci and AI agents, as seen in the BeeARD project, has the potential to revolutionize scientific research. By leveraging blockchain technology, decentralized autonomous organizations (DAOs), and AI-driven research tools, BeeARD could increase transparency, incentives, and innovation in the scientific community.

Due to BeeARD AI’s decentralized research structure, the risk of centralized control is reduced. This means people can participate and innovate across various scientific fields. The project uses revenue-sharing models that incentivize contributors, who are compensated for their data, AI models, and resources. This will encourage more participants to engage in the ecosystem, fostering a vibrant community for scientific advancement.