Redefining Web3 AI with Crypto-Native and User-Owned DeLLM Infrastructure
Today, artificial intelligence is controlled by a few major corporations such as OpenAI, Google, and Meta, which dictate access to models and exploit user data.
But there’s a deeper problem. Even within the Web3 industry, most so-called decentralized AI projects remain dependent on centrally hosted Web2 LLMs, limiting user control and privacy. DeLLMs remain scarce, and most existing decentralized models only offer around 70 billion parameters. This contrasts sharply with powerful models like DeepSeek, which boasts 671 billion instruct-tuned parameters. Building LLMs at that scale demands enormous capital, making it nearly impossible for most Web3 startups to compete. As a result, the Web3 AI movement is stuck, dependent on closed systems, unable to scale, and constrained by centralization.
BitSeek is changing that. Purpose-built for the Web3 era, BitSeek is the first full-stack decentralized AI infrastructure. At its core is a DeLLM (Decentralized Large Language Model) protocol that atomizes and distributes powerful open-source LLMs—like DeepSeek R1 and Llama 3—across a global network of independent nodes. This architecture eliminates centralized control, placing both the model and the data in the hands of the community. By distributing Web2.0 AI LLMs using a novel technique called Large Language Model Atomization, BitSeek offers the Web3 AI industry a breakthrough: Fully decentralized, full-instruct, and full-featured LLMs that can support AI Agents, AI dApps, and a new wave of Web3-native applications.
Backed by a $5 million seed funding round, BitSeek is turning this vision into reality. More than just another chatbot, BitSeek is a modular platform that includes a distributed computing network, a blockchain-native Model-Context-Protocol (MCP) suite, and a user-controlled data DAO. Together, these components enable Web3 developers to build censorship-resistant AI agents and dApps, while giving users full control over data, computation, and monetization. It’s a decentralized AI infrastructure built from the ground up for Web3. By atomizing open-source LLMs and distributing them across a global network, BitSeek ensures that no single entity holds control. Users retain full data ownership, while developers gain access to powerful tools without compromising on decentralization.
BitSeek isn’t just for individual users. It’s designed for the entire Web3 industry, providing a critical foundation for projects and platforms that want to integrate AI functionality without sacrificing privacy, decentralization, or censorship resistance. In contrast to “decentralized” offerings still hosted on centralized infrastructure, BitSeek delivers a truly distributed model architecture and data governance framework.
If you’re a Web3 developer or an LLM user seeking a truly privacy-first, censorship-resistant AI solution, BitSeek is the answer.
A Modular Approach to Decentralized AI
Most AI models today operate within centralized systems that collect and monetize user data. BitSeek disrupts this model with its Decentralized Large Language Model (DeLLM) infrastructure. Instead of housing AI models on a single server, BitSeek atomizes open source LLMs and distributes them across a network of nodes, ensuring no entity, BitSeek included, has full control over the system, model, or user information. This architecture also unlocks opportunities for Web3 projects to build AI dApps natively on decentralized infrastructure, rather than relying on a centralized backend.
This approach allows users to access AI services without relying on a central authority. By atomizing AI models, BitSeek enhances scalability, security, and resilience—eliminating bottlenecks and reducing the risk of data exploitation. Users can even contribute by offering GPU power or data, all without the risk of centralized control.
Beyond privacy, this architecture future-proofs AI. As models grow in complexity, traditional centralized systems struggle with inefficiencies and security risks. BitSeek’s decentralized network sidesteps these issues, enabling continuous expansion and uninterrupted service.
BitSeek leverages several leading open-source models, including DeepSeek R1 and Llama 3, and is designed to integrate other open source models such as Qwen, and OpenAI’s open-weight model when available.
This flexibility ensures that BitSeek evolves with the AI landscape while remaining decentralized.
Privacy, Control, and User Empowerment
With centralized AI, users surrender their data to corporations with little transparency about how it’s used, stored, or sold. BitSeek changes this dynamic by ensuring data is never fully aggregated in one place. This means no single entity—corporate or otherwise—can claim ownership or exploit your information.
For those who wish to share their data, BitSeek provides an opt-in mechanism that allows users to monetize their data on their own terms. Whether contributing infrastructure, computational resources, or interactions with the AI, users are rewarded for their participation.
To expand these opportunities, BitSeek plans to partner with third-party services that connect users with research projects and other data monetization avenues. While the platform doesn’t manage these opportunities directly, its collaborations will ensure users can benefit financially while maintaining full privacy and control over their data.
BitSeek also enables users to port their conversation data across different models within its ecosystem, ensuring flexibility without sacrificing continuity. Whether switching from one model to another or testing new capabilities, users remain in control of their history and experience.
This approach puts power back where it belongs—in the hands of users.
The Problem with Centralized AI—and How BitSeek Solves It
A growing majority of users recognize the risks of centralized AI: 78% prefer an AI that does not analyze their conversations, and 80% would choose a decentralized, open-source LLM over a corporate-controlled one. From your sensitive health-related questions to personal preferences shared when interacting with a LLM, those dominant corporate players hold vast amounts of data and the risks are well-documented: data breaches, censorship, and the monetization of private information without user consent.
BitSeek offers a fundamentally different approach. Its decentralized-compute infrastructure eliminates the risks of corporate ownership, while blockchain technology ensures security and transparency in transactions. With a rewards-based system, BitSeek creates an incentive for participation, making AI more democratic and user-driven.
Unlike other “decentralized” AI projects that still rely on central servers or controlling nodes, BitSeek’s model fully distributes both the AI infrastructure and computational resources. This ensures a truly decentralized AI ecosystem, free from corporate interference.
A New Model for AI Participation
Beyond privacy, BitSeek empowers users with financial incentives. Users can choose to keep their data private or monetize it through decentralized collectives, such as Vana’s data-sharing DAOs, which connect them with developers seeking high-quality training data.
Other projects, such as MyShell AI, are also expanding the decentralized AI landscape by providing platforms for AI-powered dApps. BitSeek builds on this movement by focusing on infrastructure-level decentralization, enabling not just applications, but the foundational AI models themselves to run without centralized control.
Traditional AI platforms profit from user data while offering little in return. BitSeek flips this model, directly rewarding users who contribute computing power, engage with AI models, or share data on their own terms.
- Node Operators provide computational resources, earning rewards for powering BitSeek’s decentralized AI models.
- Users interacting with the AI also receive rewards, recognizing their role in the network.
- Data Monetization is optional, allowing users to partner with third-party platforms for additional financial opportunities—all while maintaining full privacy and control.
This dual-sided rewards structure ensures that value flows back to the people who make the system work, rather than concentrating profits in the hands of a few corporations.
For Web3 developers, BitSeek offers an open infrastructure set-up for launching fully decentralized, AI-driven applications. From Web3 AI agent projects and decentralized social platforms to DAO-powered research projects, teams can harness the DeLLM protocol and its multi blockchain MCP suite to deliver smart functionality without giving up control, privacy, or core decentralization values. BitSeek actively seeks collaborations with Web3 innovators who share this commitment.
