【Bluwhale AI】Decentralized AI Personalization Protocol / Providing wallet information and earning rewards / Raising 7 million dollars in a seed round led by SBI / @bluwhaleai
Evolving from marketing to analysis and intent
Good morning.
I am Mitsui, a web3 researcher.
Today I researched "Bluwhale AI".
"Table of Contents"
🐳Overview｜What is Bluwhale AI?
⚙️Features｜Visualization through wallet analysis
💰Transition｜SBI leads, completes $7 million fundraising 💬Prospects and Considerations｜Development from marketing to analysis and intent
🐳Overview｜What is Bluwhale AI?
"Bluwhale AI" is a protocol that utilizes AI to achieve personalization in the web3 era. It's referred to as a decentralized AI personalization protocol.
In the modern era, it has become essential for applications to provide personalized experiences for each customer, but optimal personalization requires a vast amount of data. Currently, these data are held by large IT companies, putting small businesses and newcomers at a disadvantage.
In particular, in the web3 era, there is a need for data sharing and personalization that is transparent and interoperable.
To address this, "Bluwhale AI" visualizes user data by analyzing wallets and creating profiles of their users. This allows web3 companies to approach them and users to earn rewards based on the data they provide. These are achieved in a decentralized and transparent manner, with AI improving their accuracy.
⚙️Feature｜Visualization with Wallet Analysis
First, let's introduce the features from the user's perspective.
Users can visualize their own information by connecting their own wallet.
And then, companies can check these profiles and send messages. Users can check the information of these messages, and also check the wallet information of those who came to see the wallet information and profiles similar to themselves.
Web3 companies can also set up their own profiles, and the user data of their own protocol can be visualized in a list based on the wallet data registered by users.
By visualizing this user data and protocol data, we can analyze each user's preferences and achieve personalization.
Web3 companies that want to connect with wallet owners can easily build connections through messages that are safely, on-chain, and dynamically priced, and wallet owners are rewarded according to popularity.
💰Transition｜SBI leads, completes $7 million fundraising
"Bluwhale AI" was released in October 2023, and already has 180 companies registered to use the open beta version of the AI platform, and has created indexes for more than 270 million wallets.
And then, on March 11, 2024, it announced a seed round of fundraising of $7 million. This round was led by SBI, with participation from SBI Ven Capital, SBI Decima Fund, Cardano, Momentum6, Primal Capital, NxGen, Ghaf Capital Partners, Spyre Capital, Baselayer Capital, Haseeb Qureshi and others.
Moreover, the two founders are machine learning experts from Stanford University and Berkeley, and veterans of TikTok AI.
💬Outlook and Considerations | Evolution from Marketing to Analysis and Intent
Lastly, we have some considerations.
There are many examples of analyzing wallets for the construction of DID in the web3 era and for marketing purposes. "Bluwhale AI" is heavily focused on AI among them. The AI is used for personalized matching engines and visualization of user data, but in the future, it is thought to be aiming at user analysis of web3 companies and future predictions based on it, as well as optimization of user experience with intent.
On the HP, the term "predictive user profiling" is used, with the following explanation:
More than 80% of decision-making data is user-centric. Our context-based insights reveal the 'why', 'what', 'who', and 'how' of user interaction with DApps on Web3.
Looking at the current development of AI, it is almost certain that AI will be used in all the foundations of future services, but a data foundation is essential for optimal use of AI. "Bluwhale AI" sets incentives for data provision and receives data in a safe form from users.
And, they provide services in the field of "advertising", which is the most understandable area of demand, without immediately moving on to predictions and intents. They aim to increase the number of users and user data, and the number of companies for matching.
From there, it is thought that they will expand to analysis, prediction, intent, etc. based on the collected data and know-how.
And, probably the analysis data and user ID will be released in a form that allows interoperability, so a future as a "Parsonalization Layer" is also very possible.
In the world of startups, it is often said that it is better to separate and communicate the "selection of the future that is sure to come" and the "reason why your company can win in that future". I don't know the name myself, but I think that functions like the "Parsonalization Layer" are "the future that will come". I don't know if "Bluwhale AI" will survive in that future, but I'm very excited to follow the information!
That's all for the research on "Bluwhale AI".
Official Links: HP / X / medium
Disclaimer：I carefully examine and write the information that I research, but since it is personally operated and there are many parts with English sources, there may be some paraphrasing or incorrect information. Please understand. Also, there may be introductions of Dapps, NFTs, and tokens in the articles, but there is absolutely no solicitation purpose. Please purchase and use them at your own risk.
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Author
mitsui
A web3 researcher. Operating the newsletter "web3 Research" delivered in five languages around the world.
Contact
The author is a web3 researcher based in Japan. If you have a project that is interested in expanding to Japan, please contact the following:
Telegram：@mitsui0x
*Please note that this newsletter translates articles that are originally in Japanese. There may be translation mistakes such as mistranslations or paraphrasing, so please understand in advance.