This article interviews Art Abal, Director of Vana Foundation and Co-founder of Vana Protocol. Vana’s mission is to help individuals control and benefit from their data through innovative data DAOs and data liquidity pools, solving key challenges in the fields of AI and Web3.
In the interview, Art discussed how Vana ensures data quality, incentivizes community participation, and how it differentiates itself from other Web3 projects. He also talked about the role of Vana tokens in governance and transactions, the speculative potential of dataset-specific tokens, and plans to launch the mainnet soon. This conversation briefly shows how Vana can promote AI development by changing data ownership and unlocking the potential value of data.
Vana has completed a total of $25 million in financing, including: $5 million in strategic financing in September 2024, led by Coinbase, and no other participating companies were disclosed. In December 2022, it completed $18 million in financing, led by Paradigm, and participated by Casey Caruso, a former partner of Paradigm, and Polychain Capital. This round of financing was not announced until April 2024.
The audio transcript was generated by GPT, so there may be some errors. Please listen to the full podcast:
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Opening and self-introduction
Ehan:
We are excited to have Art Abal with us today. Vana has been receiving a lot of attention for its innovative approach to Web3 data liquidity. Let’s take a deeper look. Could you please start by introducing yourself and the Vana project?
Art:
Of course. Hi, I'm Art, the director of the Vana Foundation and co-founder of the Vana Protocol. What is the purpose of Vana? It is to address a core problem in AI development: the need for data. Public data is almost exhausted - it has been scraped and used in current models. This is a problem because data is like oil to AI - it drives everything. Companies developing AI are always looking for new data.
So where is this data? Only a small fraction of it is public. The rest is either private, hidden behind paywalls, or stored in databases that are inaccessible to crawlers and scrapers. One way to get this data is to get it directly from users. In Web2, this practice is called data harvesting or data field collection, where centralized companies or platforms collect data from individuals, package it up, and sell it. However, in Web3, we can achieve the same goal through tokens, protocols, and data DAOs, allowing individuals to benefit from the tremendous value and power created by their data.
What Vana is doing is liberating the data market, allowing people like you and me to benefit from the value of our own data, while providing new data streams for AI to support training, thereby unleashing huge potential.
My personal background is in quantitative research and data sourcing. I worked at Appen, one of the largest data brokers in the world, sourcing data to power major AI models like ChatGPT and platforms like Google Search and Google Ads. I gained experience in traditional centralized data systems and their challenges. My co-founder Anna founded her first AI company and became one of the first engineers at Celo, a mobile-focused Layer 1 blockchain, after incubation at Y Combinator. Her expertise is in AI and blockchain.
The origin story of Vana is this: Anna and I met when we were students at MIT - she at MIT, I at Harvard. We were in a class exploring emerging technology challenges. We found that a big problem in AI was the need for high-quality data, and we also saw an opportunity to allow individuals to participate in this new AI ecosystem and benefit from owning their own data. This is the origin of Vana.
How did Vana come to partner with Paradigm?
Ehan:
Vana received investment from Paradigm, which typically invests in projects with high growth potential. Can you tell us how this partnership came about?
Art:
OK, this is a common question. I think a lot of people are curious about how Paradigm decides to invest. I should be clear that this is my personal opinion only - I can't speak for our investors and partners, who certainly have their own opinions.
In my experience, Paradigm and similar investors look for three key qualities in projects. The first is an idea with major system-changing implications. Paradigm favors projects with transformative potential, not just small improvements on existing trends or short-lived fads. They are interested in deep technologies that can redefine how humans operate at scale.
The second key trait is whether the founding team is uniquely equipped to realize the vision. Anyone can have an idea, but Paradigm always asks, “Why you?” They want to know how your background, skills, or experience make you and your team the best fit to realize this vision. Anna and I explained how this question ties in closely to our areas of expertise and why it was a natural continuation for our career trajectories.
The third trait is ingenuity – smart, flexible problem solving. Building a startup means a constant race to always stay ahead. The only way to do that is to innovate and find creative solutions to stay ahead of the curve. Paradigm recognized Anna and I as relentless innovators who are always looking for a new edge and striving to stay ahead. This ingenuity was a key reason they were interested in us.
Ehan:
Are there any specific qualities or fits that Vana highlighted that played a key role in winning Paradigm’s interest?
Art:
Yes, I think it's the same three aspects. The factors that are very important to us include Anna and my background in AI, data, and crypto. We are not entering this field without experience. We deeply understand the real problems in Web2, which are insufficient data availability and lack of user ownership.
We had the foundational technology in place to really solve this problem, and so I think Paradigm was very interested in our vision and also saw our position as being the best people to solve this problem, both for society and for them.
Where is Vana's potential?
Ehan:
In your opinion, what specific aspects of Vana does Paradigm base its potential on in the Web3 and AI space?
Art:
Yeah, I think a very important factor for them is that we're posing a real problem, and blockchain happens to be a reasonable solution. Sometimes people tend to apply Web3 to problems that don't exist, but that's not the case with us.
The biggest problem with data is that individual data alone is not as valuable as it is when aggregated with data from many users. This is why Web2 platforms hold such power — they centralize data, then monetize and sell it.
In a community-based environment, we need an alternative way to achieve this centralized process. The Vana Ecosystem and Vana Chain are the tools to achieve this goal. Many of our partners and investors are excited because Vana provides a very reasonable use case for a real problem. It solves the data aggregation problem by applying cryptography in a practical way, allowing data to be financialized in a collective rather than centralized way.
What strategic support does Paradigm provide beyond funding?
Ehan:
In addition to financial support, has Paradigm provided any other help at a strategic level, such as guidance or market insights, that has helped Vana scale?
Art:
Yes, absolutely. At the early stages, it’s really important for founders to make sure they’re working with investors who share their philosophy. Anna and I were lucky to work with investors who we formally partnered with, as well as others in our network, who provided invaluable help.
If I were to summarize the three most important things that investors bring to our table, the first is connections - networks are extremely valuable. They facilitate partnership building, recruiting, and other critical aspects of the growth process.
The second is thought leadership. Especially cutting-edge investors, often very ahead of the curve on AI, crypto, and database trends. Access to Paradigm’s insights and intelligence is invaluable to us in ensuring we allocate resources most effectively.
The third is endorsement. Going through the due diligence process of top VC Paradigm sends a powerful signal to the market that your project offers something of great importance and potential industry-changing value. The process itself is not easy - anyone who has raised money knows that it can be very challenging. But by going through the process with a firm like Paradigm, it shows that the underlying technology and vision you are proposing is attractive and viable in the assessment of the industry's top thinkers.
Collaboration and interaction with the a16z team
Ehan:
Recently, a16z partner Justine Moore mentioned Vana as the only Web3 project mentioned in her article about building an AI brand. Although a16z is not one of the investors in Vana, have you had any interactions or discussions with them?
Art:
Yes, the investor network in the US is relatively small, especially among top crypto investors. So we are very familiar with the team at a16z. Although they didn’t invest directly in Vana, we have received a lot of indirect and informal support from them - many great connections through their excellent team. Justine, Chris, and Ariana have been very kind to Anna and me, and I am very grateful to them as supporters of our mission and goals.
Ultimately, I think the reason they helped us so much is because we are so aligned in our goals of moving Web3 forward. We want to make Web3 more accessible and make sure it solves real problems. I believe we showed not only a16z but the broader crypto community that Vana is not a solution looking for a problem. There is a real problem here, and blockchain is the right way to solve it. This could be very transformative for the space.
How does Vana attract investors?
Ehan:
Given the competitive nature of Web3 and data-driven projects, how does Vana stand out in attracting institutional investors as well as potential new investors?
Art:
Yes, that’s a great question. The most important thing about Vana — or any Web3 project, for that matter — is that it needs to be understandable and resonate with everyone. In the digital Web3 world, we create data every day. The fact that this data is used without your consent and you get no financial reward from it resonates not only with major VCs who understand how an AI-driven economy can develop, but also with the average person.
For example, when I'm in an Uber or talking to someone in an airport lounge, if someone asks me what I do, I tell them that their data is undervalued. They get it right away. I think one of the strengths of Vana is that we have a two-fold message: first, data is the foundation of the entire AI ecosystem, and second, that data is personal and relevant to everyone. Your data creates value for someone else, but you're not part of the transaction—that resonates so strongly with people.
What helped us stand out was that we were able to tell these two interconnected stories. On one hand, we showed the broad ecosystem transformation brought about by data-driven AI; on the other hand, we made it personal, showing individuals how their own data can empower them. By combining these two narratives, we were able to attract investors, community members, and new audiences interested in our project.
Ultimately, our core message is that by enabling users to own their data and aggregating that data using blockchain, we are not only giving power back to users, but also driving groundbreaking AI advancements. This dual value proposition is what makes Vana unique and appealing.
My thoughts on VC-backed projects and the rise of meme coins
Ehan:
Even some Paradigm-backed projects have encountered controversy as market interest shifts from VC-backed tokens to meme coins. Given the recent controversy surrounding these tokens, what do you think of this trend? What factors should projects consider to avoid similar pitfalls?
Art:
Yes, I totally understand that feeling. It’s often easier and more fun to speculate in meme coins. I want to approach this from two angles. First, how to evaluate and position projects to be strong investment opportunities beyond meme coins, and second, whether data DAOs could be a new form of meme coin, which I’ll get to later.
Regarding the positioning of the project, I want to emphasize that this is not investment advice, but only my personal opinion. When evaluating the legitimacy of a project, I follow three key principles.
First, does the project have a clear purpose for blockchain? Does its use case make sense when using the technology? If its functionality or solution is better achieved through centralized mechanisms or other methods, I will be less optimistic about the project. This usually indicates that the project is looking for solutions to problems rather than providing the best blockchain solution to the real problem.
Second, dig into the capital structure. It’s important to understand who invested, under what conditions, and their alignment with the project’s mission. For example, patient investors who incubate deep tech like Paradigm, or mission-driven backers like Coinbase Ventures are better choices. For us, it’s intentional to choose investors who align with our philosophy, and it’s also important to think carefully about the signals that investors send to the community. Ultimately, the community is the fundamental reason for the project’s existence.
Third, get to know the founders. Founders need to proactively engage with people and give others the opportunity to understand their vision. I always try to attend events and talk to people who are not only interested in investing in the token, but also interested in using our product. Building strong connections with the community - even across language and cultural barriers - is critical. I hope our efforts can be reflected in our work.
Finally, it has been suggested that the DataDAO tokens developed by Vana could be viewed as a new type of meme coin. These tokens allow people to speculate on datasets in the same way they speculate on cultural movements or memes. For example, someone might think that 23andMe’s dataset or WeChat’s data is extremely valuable and choose to invest in these tokens. If you are interested in this type of meme-type investment opportunity, I encourage you to explore DataDAO tokens when Vana launches mainnet. This could be an exciting opportunity to participate in these emerging fields early in innovative ways.
How does Vana build trust with data contributors and the community?
Ehan:
Given that Vana’s data model is relatively new, how are you building trust with potential data contributors and the community?
Art:
Building trust starts with technical reliability. An often overlooked aspect is the deep technology that underpins the Vana ecosystem. Many people think that aggregating data is a simple matter, but from my experience trying this process at Web2 companies, I know that it is actually very challenging. To build trust, we must provide contributors and users with truly effective technology.
We focus on three key technical elements.
The first is proof of contribution. When you contribute data, the Data DAO defines what is good data or high-quality data. This proof is universally applicable, letting everyone know that the system is fair and reliable.
The second is trustless data verification. We implemented a trusted execution environment to verify the data. This ensures that while the data is being checked, it remains private and secure. Users want assurance that their valuable data will not be leaked in the process.
The third is our fine-grained data permission system. In 2023, we developed a patent that allows users to set fine-grained permissions on data through their wallets. Just as you can set permissions on tokens and trade them, you can now do the same with data. This innovation ensures that users retain control of their data, creating a trusted environment.
Additionally, it’s critical to be transparent and accessible with the community. Conversations like this are a great way to connect with users. By solving real-world problems and being open and accessible, we hope to build trust in the community. Powerful technology combined with open communication is the foundation on which we build trust.
How Data Flow Pool and Data DAO Work
Ehan:
The foundation of Vana seems to lie in its data liquidity network, specifically the Data Liquidity Pool (DLP) and Data DAO. How do these components work together? Also, how many Data DAOs have been created so far? Can they be categorized?
Art:
OK, I'll answer the last part of your question first. Since the testnet was launched in June, over 300 data DAOs have been created on the Vana network. To be clear, these DAOs are not created by Vana itself, but rather by individuals through our network's taskless framework. Anyone can visit build.vana.org and follow the instructions to create a data DAO. For example, someone might think that Twitter is a valuable source of data, so they could create a DAO for Twitter data and allow others to contribute data.
Currently, there are 16 data DAOs in the incubation stage, which are scheduled to be launched simultaneously with the mainnet. These DAOs can be roughly divided into the following categories: health and longevity data (such as gene sequencing, mental health, fitness trackers), Web2 social media data (such as LinkedIn, Reddit, Instagram), and professional financial data for applications such as prediction markets.
As for how Data DAOs and Data Liquidity Pools work together, DLP is a core function of the Vana ecosystem. Users earn tokens by contributing data, forming what we call data liquidity. Each Data DAO or Liquidity Pool focuses on a specific type of data. As more data flows into the network, its utility to individuals and developers grows, reinforcing what we call the "Data Network Effect."
Data DAOs act as a governance layer, ensuring that these liquidity pools operate in a trustless manner. When users contribute data, the DAO is responsible for managing that data, ensuring that contributors retain control while benefiting from community-driven decisions. For example, the Reddit Data DAO recently passed a resolution on data sales, demonstrating how communities can collectively govern and leverage datasets.
How is Vana different from other Web3 data projects?
Ehan:
How does Vana’s data liquidity model differ from data markets in other Web3 projects? How do data DAOs manage governance and quality control in their respective liquidity pools?
Art:
That’s a great question. Vana is unique in that we focus on ensuring accessibility for Web2 AI consumers. With over 20 years of combined experience in AI data sourcing and sales, we deeply understand the needs of Web2 enterprises and have tailored our infrastructure to those needs.
A key differentiator is Vana’s incentive layer. We facilitate the development of markets rather than operating them directly. We work with ecosystem partners such as TensorSource, a platform that connects Web2 demand with data DAOs to commercialize data, and Super Protocol, which provides a trusted execution environment to ensure the security of data computation. Vana provides an incubation environment for these markets to flourish, bringing together data suppliers and demanders in a trustless system.
Regarding governance and quality control, proof of contribution is critical. Each DAO sets its own data quality standards and enforces them through verification mechanisms. One might worry that DAOs’ standards might be too low, but Vana’s innovation lies in dataset-specific tokens. These tokens align economic incentives with data quality. For example, a low-quality dataset might be outperformed by a high-quality alternative. Buyers and their agents will naturally gravitate toward the higher-quality dataset.
In addition, Vana incentivizes high-quality contributions through mechanisms such as the Data Liquidity Pool Rewards Program, where community members can vote and stake tokens to support the best performing data DAOs. This competitive and community-driven approach drives continuous innovation and quality improvements in the network.
For example, on our platform, nine different Twitter data DAOs have been created. The DAOs with the highest quality data will naturally be preferred, driven by economic incentives. Community governance also plays an important role, helping to identify and reward high-quality datasets while ensuring the robustness and value of the network.
How does Vana ensure data quality and what role does the token play in the ecosystem?
Ehan:
Vana transforms user data into tradable assets. How does it ensure data quality? What role does the token play in this ecosystem?
Art:
Data quality is driven by multiple factors, such as dataset-specific tokens, which drive the maintenance of high standards through incentives. In addition, the Data Liquidity Pool (DLP) reward program allows the community to vote to express preferences by supporting well-performing datasets or flagging poorly performing datasets. This economic incentive mechanism ensures data quality without the need for strict and unified standardization functions.
We considered creating a common benchmark for data quality, but later found that this was not practical because data is very heterogeneous. For example, WhatsApp data is completely different from Instagram data or YouTube video data. Quality benchmarks are more appropriately set at the DAO community level, and competition between communities will drive improvements.
As for Vana Token, it acts similarly to Ethereum, supporting all data transactions throughout the ecosystem. At the same time, it supports governance through DLP rewards. Token holders can stake tokens to data DAOs with outstanding performance to help them succeed in the rewards program. This staking not only ensures network security, but also drives the continuous improvement of data quality while keeping the ecosystem community-driven and value-oriented.
Growth Potential of Dataset-Specific Tokens
Ehan:
Can you talk about the growth potential of these tokens, especially since they offer cumulative value backed by real-world datasets?
Art:
Dataset-specific tokens have dynamic growth potential. One trend we observe is data speculators entering the ecosystem, identifying valuable datasets, and thus driving up token prices. For example, the market cap of the Reddit Data DAO token reached ~$30 million shortly after launch, a notable but extreme case.
Ideally, these tokens can form a strong buying and selling market. Users contribute data to the market, such as Facebook user data, and speculators or AI experts may buy these tokens because they recognize the value of this data set. This exchange promotes the economic balance between buyers and sellers, effectively connecting supply and demand.
Speculation in dataset-specific tokens is a key driver of adoption and innovation within the Vana ecosystem. Investors in these tokens are incentivized to ensure datasets are commercially viable and useful for AI applications, aligning incentives to improve and maintain data quality with economic interests.
How does Vana keep user data secure and ensure privacy?
Ehan:
Can you explain how Vana keeps user data secure and ensures privacy throughout the process?
Art:
Vana ensures data security and privacy through a combination of technology, trustless verification, and incentive structure. Our goal is to create a system that can verify and aggregate data without compromising user privacy.
The first element is trustless verification. Data is verified through a secure data portal and a network of trusted execution nodes. These nodes verify data based on predefined rules set by the data DAO. This process ensures that the contributor's data remains private during verification, and the trusted execution environment (TEE) generates zero-knowledge proofs to verify the validity of the data without exposing the data itself.
The second element is fine-grained permission management. Users can manage their data like tokens in their wallets and trade them without third-party intervention. This gives users ownership and control over their data.
The third element is data traceability. By putting data on the chain, users can track how and when their data is used throughout its life cycle. For example, operations conducted on the Vana chain will enable users to see how their data is used and, under certain conditions, benefit from technologies that utilize the data they contributed.
Unlike Web2, where data often “disappears into thin air”, Web3 provides transparency. Users can know exactly how their data is used, creating a trustworthy environment for security and privacy.
Why choose Telegram as a platform for user interaction?
Ehan:
Vana launched the Vana Data Hero bot on Telegram for user interaction. Why was Telegram the ideal platform to launch? What other user interaction methods will there be in the future?
Art:
That’s a great question. We’re often asked why we chose Telegram. Ultimately, we chose the platform because it’s familiar, accessible, and our community is already here. Data is something everyone has, and we wanted to make the onboarding and engagement process as simple as possible for users. So far, the feedback has been fantastic.
We have plans to launch more platform features after the mainnet launch to facilitate deeper interactions. Going forward, there will be three main user interaction touchpoints. The first is the Data Hub - a centralized platform where users can discover new data DAOs, trade DAO tokens with Vana tokens, stake to top data DAOs, and track their participation over time to earn rewards.
The second is the Build Hub - a resource for data DAO creators and developers to build applications on Vana. The Build Hub will feature community-driven projects and a contributor bounty program.
The third is to engage with the community through platforms such as Telegram, Discord, Twitter, online events, and offline meetups. We will continue to reward active participants in these spaces. If you are interested, I encourage you to join our Discord, Telegram, or Twitter.
The main interactions in the Vana ecosystem happen inside the Data DAOs. I recommend visiting Vana’s Telegram mini-app, where all the Data DAOs are listed. Some DAOs are already live on testnet and collecting data, others are running premines where users can reserve seats. Since seats are limited, I encourage everyone to get involved early and explore at least four DAOs before the mainnet launch.
Mainnet launch plan and future roadmap
Ehan:
Looking ahead, what does the roadmap look like for Vana? Are there any specific plans or timelines you can share for the mainnet launch or TGE (Token Generation Event)?
Art:
This is the question everyone is waiting for! We are working hard to prepare for the mainnet launch. The details will be announced soon, most likely in the next few weeks. Due to regulatory reasons, I can’t reveal too much right now, but I encourage everyone to join us on Twitter and Discord, where you will be the first to receive the latest news.
While I can’t reveal more at this time, please know that I’m incredibly excited about this. I’ve probably been getting less sleep than ever lately as we’re working so hard to make sure everything is ready. Our community will be the first to know, so follow us on Twitter and Discord for early updates.
Ehan:
Thank you Art for sharing these insights about Vana with us.
Art:
Thanks so much. If anyone has further questions, you know where to find us - just search for Vana on Twitter or Discord.
