On October 22, Reuters reported: The Web3 AI platform Bluwhale AI announced the completion of a $10 million financing round, led by SBI Holdings and UOB, with participation from renowned foundations such as Sui Foundation, Arbitrum, Tezos, and Cardano.
This funding will be used to expand Bluwhale's global node network and AI intelligent wealth system. As one of the representative projects combining Web3 and AI this year, Bluwhale is also becoming a new entry point for 'on-chain intelligent finance.'
I am a long-term user interested in Web3 and AI. One of the projects that surprised me the most in recent months is Bluwhale AI.
It is not just an AI project that speculates on concepts, but a platform that I personally feel 'really has substance' after using it.
In simple terms, Bluwhale is a platform that combines AI and on-chain finance.
At first, I just wanted to see how its so-called 'AI financial assistant' worked, but I found that it could automatically analyze all my wallet, bank card, and credit card data, then generate a complete 'financial checkup report' and provide personalized investment advice.
Interestingly, there are dozens of AI assistants available, covering financial planning, crypto analysis, trading strategies, asset monitoring, and other functions, almost like a Web3 version of an AI app store.
Moreover, these assistants operate on-chain and are verifiable by users, making data security higher than that of traditional financial tools.
🔹 Tokens and incentive mechanisms: Practical and profitable
Currently, Bluwhale is still in the 'points phase (pre-TGE)' before the token launch.
I have already obtained quite a few points by connecting my wallet and participating in activities, and these points can be exchanged for Bluwhale's platform tokens in the future.
📊 Total number of early users: 2.13 million+
💰 Points user allocation: Total tokens 2% (approximately 100 million)
🌐 Number of nodes: Sold over 100,000 (main nodes 38,000)
🧠 Active users: MAU 2.3 million, DAU 190,000
Bluwhale's tokens in the future will not only be used for staking and paying network fees but will also serve as fuel for running AI Agents.
This made me feel that it is not just a 'token speculation' but an ecosystem token supported by actual use cases.
🔹 Node earnings mechanism: A new approach to passive income in Web3
The node system is one of Bluwhale's core incentives.
Running a Bluwhale node is equivalent to providing computing and verification capabilities for the entire network, while also earning daily token rewards.
Many friends around me have already deployed Master nodes, and the earnings are quite stable.
Considering the platform's growth rate, this 'AI + nodes' model could become a new trend in Web3 finance.
🔹 Financing and team background: Top-tier industry lineup
To be honest, many Web3 projects are hyped up, but looking at the investors and team backgrounds reveals the truth.
And Bluwhale's financing lineup is genuinely substantial:
🇯🇵 SBI Holdings (Japan's largest financial group), 🇸🇬 UOB (United Overseas Bank), 🌐 Sui Foundation, Arbitrum, Tezos, Cardano official foundations, 🤖 Head of Amazon AI department, Oculus founder, Guitar Hero founder, and other well-known investors
As of now, Bluwhale has raised a total of $13 million in funding, covering Pre-Seed, Seed, and the ongoing Series A.
Based on the current node sales volume, user activity, and financing valuation, I speculate that Bluwhale tokens could reach $0.08–$0.1 in the future.
Considering its large user base and points distribution mechanism, an increase to $0.3–$0.4 in the next 3–6 months is entirely possible.
If node earnings maintain their current level, Bluwhale could become the most promising 'cash flow project' in the Web3 AI sector by 2025.
Bluwhale is one of the few Web3 AI projects that makes me feel 'both practical and profitable'.
It addresses the longstanding pain points of Web3 projects—lack of real users and practical scenarios.
