AI Web3 Start-up Bluwhale raised $ 100 million in funding. The whole is made up of proceeds from a seed/series A Round, a $ 75 million token promise to purchase, grant, and node sale proceeds, the company mentioned in a release shared with Alexablockchain.
This funding will allow the company to expand the web3 intelligence layer to multiple layers 1 and layer 2 blockchain.
The Vision for Decentralized AI: Introduction Layer 3
Decentralized AI has the potential to interfere with traditional AI paradigms by reducing reliance on centralized data silos and computational resources, making AI more inclusive and equal.
Bluwhale aims to develop a specialized layer 3 enabled by zero-knowledge proofs to enhance AI’s capabilities on blockchain networks. While L1 and L2 chains manage major blockchain operations – including transactions, consensus mechanisms, data storage, and calculation – L3 aims to provide an appropriate environment for the AI workloads. The L3 solution will provide the integration, contextualization, and the privacy of privacy required for AI agents and large language models (LLM) to train and work seamlessly with decentralized infrastructure.
“While individual building blocks are available to power AI decentralized on the blockchain, most of them have been filed on platforms and chains,” said Han Jin, Bluwhale’s CEO.
“Our L3, in collaboration with Caldera, will deliver data context and orchestation of scattered blocks to create the most optimal and secure layer of integration for AI agents, model, and LLM to Plug in, like a multi-functional rag system, “Han added.
What sets bluwhale?
Bluwhale aims to decentralize AI workloads by seizing nodes enabled by individuals. These nodes, which can operate on mobile devices, will contribute to the verification of data, storage, and calculation. This method ensures scalability and promotes individual participation in the decentralized AI ecosystem. In addition, the custom ZK-Layer will first launch in Arbitrum, an Ethereum-based L2-based chain, to optimize for privacy, speed, and cost efficiency.
“To decentralize AI on-chain, data, storage, and calculation must exist in a single layer of aggregation, allowing different parties to consume and contribute safely and safely possible , “Matt Katz, CEO of Caldera, said a project partner.
Kiet Fong, head of Arbitrum (Offchain Labs) partnerships, mentioned Bluwhale’s work in alleviating the complexity of the blockchain. “People often say blockchains are clear, but real fairness requires intelligence and perspective on the degree of integration —is together. The AI layer lightens bluwhale the complexity by doing so easily Like plug-n play for AI agents and having a friendly chat in the chain directly.
Bluwhale is supported by prominent VCs and investors
Bluwhale gained support from a mix of blockchain innovators, venture capitalists, and well -known investors. The well -known names include arbitrum, movement labs, cointelegraph, Swissborg, Awaken Finance, Coinbureau, Altcoin Daily, and DWF Labs.
Awaken Foundation director Nattaphol Vimolchalao, noted, “Awaken Foundation is proud to return the Bluwhale team to their mission to empower individuals to change their data and mobile to an asset class. Their innovative Tasks are in line with our investment promise in bold, forward teams driving changes that AI enables within a broader web3 ecosystem.
Earlier Bluwhale investors include industry heavyweights such as SBI Holdings, GSR ventures, Cardano, and primal capital. Tech luminaries with Charles Huang (guitar hero creator) and Jack McCauley (founder of Oculus) also supported the project.
Basic challenges and opportunities
The intersection of the AI and Web3 represents an area of immense potential, but also important challenges. AI models require massive computational resources, stable data pipelines, and an environment that ensures privacy and security. The L3 layer of L3 enabled by bluwhale is designed to meet these points of pain by giving:
- Integration -Includes data and contextualization: By uniting fragments of data resources throughout the chain, the blwhale platform simplifies training and understanding processes for AI models.
- Privacy and Security: Zero-knowledge proofs ensure privacy data while maintaining transparency and verifiability, a critical requirement for business adoption of blockchain-based solutions.
- Scalability: The seizure of mobile devices as nodes introduce a democratized resource sharing approach, enabling greater participation and scalability.
Bluwhale’s decentralized infrastructure is expected to have remote application, derived from decentralized finances (DEFI) and supply chain management to personal health care and AI-driven DApps. The ability to contextualize and combine data positions as a game change for industries that rely on intelligent decision-making systems.
Strategic partnerships and scale
One of the most popular partnerships of Bluwhale includes arbitrum and caldera, which ensures that the L3 layer has been to be optimized for decentralized AI workload. Caldera collaboration focuses on creating a safe layer of aggregation for data orchestation, while arbitrum’s L2 infrastructure provides the foundation for excellent cost operations.
Moreover, the ability of starting to injure a diverse set of investors and partners, including well -known names in blockchain and tech sectors, indicates strong verification of the market. As bluwhale looks to deploy its solutions to many L1 and L2 chains, its focus on privacy, scalability, and democratization of AI resources positions are unique within the competitive web3 scene.
Industry and Confirmative Views Implications
Bluwhale enters a competitive space where companies such as Fetch.Aai, SingularityNet, and Ocean Protocol also explore decentralized AI solutions. However, Bluwhale’s focus on creating a dedicated L3 for AI has offered unique advantages. Incorporating it with mobile devices as nodes and its cooperation with ecosystems such as arbitrum provides a competitive edge in addressing scalability and accessing challenges.
Also Read: Mankind’s Protocol raises $ 20m to advance decentralized identity with ZKP and resistance to Sybil
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