Algorithms, computing power, and data are the three core elements of AI technology. In fact, almost all large AI models are continuously innovating algorithms to ensure that the models can keep up with industry trends, and these large models are also becoming increasingly massive. In this process, although the computing power required for training and inference of large models continues to grow, due to continuous breakthroughs in hardware technology, computing power is no longer the biggest limiting factor; instead, data has become the key bottleneck.
Previously, OpenAI CEO Sam Altman stated: “The progress of AI relies not only on algorithm innovation but also on the acquisition and processing of massive amounts of data.”
In the traditional internet domain, the available data for AI has almost been exhausted. With the iteration of large models, how to acquire more effective data has become the most challenging issue. In contrast, the on-chain world also faces the challenge of data scarcity, but the difference is that the data on-chain is chaotic and cannot be directly utilized; this data needs to be governed and decoded.
In the continuous extraction and organization of this data, a large amount of "dark knowledge" in encrypted data is often difficult to organize and plan effectively with only traditional databases and limited manpower. For ordinary crypto enthusiasts, accessing this "knowledge" also presents certain barriers.
Against the backdrop of missing data infrastructure, the crypto industry has never had mature AI applications specifically for the Web3 world.
With Chainbase building a data-centric AI stack in a chain-native manner, this situation has improved, and it has also redefined the Web3 data infrastructure.
Chainbase: Chain-native Data Infrastructure
Chainbase is the underlying stack facility of the AI era. On one hand, it has created a data stack underlying system that can achieve high accessibility of inter-chain connectivity in a chain-native manner, ensuring the integrity of full-chain data in a decentralized network, and unifying different data format standards (Raw data, Decoded data, and Abstracted data). On the other hand, Chainbase has launched a native AI large model, Theia, providing new possibilities for more intelligent data analysis and applications.
Web3 Data Stack
Chainbase has designed a four-layer architecture, which includes the data processing layer for data entry roles, the consensus layer for establishing consensus on data states, the execution layer responsible for data storage and invocation, and the co-processing layer responsible for data processing output. This architecture ensures that the processes from data entering the network to data governance and execution occur in different layers, maintaining high system performance while ensuring full-chain data connectivity.
At the same time, Chainbase has established a dual-chain system, with its consensus mechanism derived from the validated Cosmos CometBFT consensus algorithm, ensuring efficient and resilient operation of the data network, while using Eigenlaver AVS to undertake tasks in the execution layer. The dual-consensus architecture further enhances the programmability and composability of cross-chain data, supporting high throughput, low latency, and finality. This centralized and parallel environment not only improves efficiency but also enhances economic security.
Currently, Chainbase's data refresh interval is less than 3 seconds, ensuring real-time data, and has established partnerships with over 8000 crypto projects and on-chain ecosystems. The network processes between 560 million to 650 million full-chain data calls daily, with a cumulative total exceeding 500 billion calls.
Meanwhile, as a Web3 data stack facility, Chainbase possesses programmability while maintaining openness. It can support any role with on-chain data needs and also allows users with different capabilities, such as NODE operators, RPC providers, data scientists, developers, etc., to join the network, earning income through contributions of data and editing manuscripts based on raw data. Currently, the Chainbase network has collaborated with over 15,000 developers.
Chainbase is leading a new paradigm for the Web3 data stack.
Traditional data infrastructure, such as The Graph and Dune, often struggles to achieve complete automation in data acquisition and processing, relying on human intervention and additional configuration. This approach limits the comprehensiveness and scalability of traditional data stacks, and in the absence of native programming capabilities, the supported application scenarios are quite limited.
Chainbase's data stack achieves direct reading, processing, and utilization of blockchain-native data through an innovative system architecture, without relying on intermediate processing and indexing layers. At the same time, based on chain abstraction, it supports cross-chain and cross-table interoperability of any data granularity, covering a broader range of on-chain data, truly realizing a next-generation data stack centered on blockchain and "starting from the chain."
The distributed and open operating system also allows Chainbase to encompass not only on-chain data but also real-time off-chain data, making it available for various applications.
This new architecture not only better adapts to the rapid development and diverse needs of Web3 but also provides developers with more flexible and efficient data services.
Chain-native AI Large Model Theia
Traditional data stack facilities typically target professional users, such as developers with decoding capabilities and professional users with data analysis skills. Therefore, it is relatively difficult for ordinary investors to establish effective market insights through these data facilities. In the Web3 domain, compared to the Web2 world, there has yet to be a mature AIGC (Artificial Intelligence Generated Content) large model aimed at Web3, one of the key reasons being the lack of effective on-chain data support.
With the support of the new generation of data stack systems, Chainbase has launched the first chain-native AI large model—Theia. Based on 8 billion general large language model parameters and over 200 million Crypto parameters, this model is trained using complex D2ORA algorithms and artificial intelligence technology, supporting natural language interaction.
With Theia, users can converse with the Theia model just like using ChatGPT, significantly enhancing user experience and enabling them to intuitively explore and analyze blockchain data, gain cutting-edge on-chain insights, and better meet the specific needs of crypto users.
It is worth mentioning that in the recent "Chainbase Genesis" task event launched by Chainbase, the Theia Chat task attracted millions of users to participate in dialogue testing, fully reflecting the high attention and recognition of crypto users for this innovative AI model.
Based on high-quality and comprehensive datasets, Theia is rapidly evolving into a more mature Web3 AI large model. As Theia enters the market, it not only marks the on-chain world entering the intelligent era but also further highlights the immense potential of data-driven innovation.
Industry Significance of the Chainbase Ecosystem
By building a next-generation data infrastructure, Chainbase provides four key capabilities for the entire crypto industry, continuously driving the industry towards the next stage of development.
Data Accessibility
Chainbase has integrated full-chain data into the underlying stack, creating a comprehensive, decentralized, and scalable Web3 data set. This dataset not only includes on-chain data but also further extends to off-chain data that users wish to bring onto the chain. This ensures data accessibility while breaking the limitations of capturing data across different application domains.
Data Integrability
Chainbase has constructed a hierarchical, distributed data system that significantly improves the quality of on-chain data. Providing high-quality data based on business logic to data consumers helps enhance the transparency, trustworthiness, and security of the Web3 world, further promoting data-driven decision-making and industry innovation.
Data Models
In the Web3 world, communities are an important driving force for the development of different industry ecosystems. However, this characteristic has not yet been fully reflected in the on-chain data domain. Chainbase promotes a more Web3-oriented development in this field by building a decentralized system and standardized data processing models, making community-driven value extraction and quality processing of data assets possible.
Artificial Intelligence Capabilities
Based on the data stack, Chainbase has launched the Theia large model, providing general crypto-native artificial intelligence capabilities. The launch of the Theia large model not only marks the transition of the on-chain world from the data and knowledge era to the intelligent era but also further validates the importance of Chainbase as a data infrastructure in the AI era.
Currently, Chainbase, with its broad narrative prospects, has not only secured over $15 million in funding support from top venture capital firms such as Matrix Partners China but has also established long-term strategic partnerships with leading Web2 companies like Alibaba Cloud and Google Cloud, as well as well-known crypto projects like Io.net and AltLayer. As Chainbase further expands in terms of ecosystem and market, its value as a chain-native Web3 AI infrastructure will become increasingly significant.