Decoding Web3 AI: The Next-Gen Tech Stack
5 min readFeb 1, 2024

We are entering a defining era in the evolution of AI, a time where the fusion of generative AI and blockchain is forging a new frontier in digital innovation. FLock is excited to accelerate the decentralised AI with a full-stack AI co-creation platform that enables model training and rewards for data contribution.

Our report delves into this paradigm shift, charting the course from the established and centralised AI frameworks of Web2 to the decentralised innovations of Web3, we welcome any feedback.

The Foundation: Web2’s AI Tech Stack

The AI landscape in the Web2 era is best understood through a layered approach, each representing a key aspect of AI development and deployment. This segmentation offers a clearer perspective of how various components interact and contribute to the overall AI ecosystem. The layers include:

Computational Powerhouses

At the core of AI’s functionality were centralised cloud services like AWS and Azure. These platforms were the bedrock of AI operations, offering the computational strength essential for complex data analysis and the execution of machine learning tasks at scale.

Foundation Models

Centralised model training platforms, epitomised by entities like OpenAI and Anthropic, played a crucial role in democratising AI. These platforms made advanced AI capabilities accessible, sparking a widespread surge in AI applications across various sectors.

Data Management

The efficiency of AI in Web2 was heavily reliant on effective data management systems. Tools such as Scale AI and Mechanical Turk streamlined the pre-processing of data, ensuring its readiness for analysis. Simultaneously, platforms like Pinecone, Databricks, and Snowflake played a pivotal role in managing and storing vast datasets, thus facilitating easy access and manipulation.

Agents and Applications

The versatility of AI in Web2 was vividly displayed in its wide range of applications. From marketing tools like Jasper and to groundbreaking innovations in healthcare with Glass, AI’s applicability spanned diverse domains, demonstrating its transformative potential.

Tooling and Frameworks

This layer significantly shaped AI development in the Web2 era, featuring essential tools and frameworks like Langchain and LlamaIndex for AI agent development. Platforms such as BabyAGI, AutoAGI, and Camel were crucial in enhancing agent development, providing specialised environments for both creation and refinement. Collectively, these elements enriched the AI agent landscape with sophistication and advanced functionality, marking a pivotal advancement in AI capabilities during this period.

The Marketplace Mechanism

The emergence of platforms like HuggingFace and GitHub has fostered a collaborative ecosystem, allowing for the sharing and discovery of AI models and tools.

The Evolution: Web3’s Decentralised AI Framework

Transitioning into Web3, our exploration of AI takes on a new dimension. Building on the layered approach of Web2, we delve deeper, illuminating how decentralisation and blockchain redefine AI projects. Web3’s unique attributes necessitate additional layers, notably Privacy and Authentication, showcasing how these transformative technologies foster a more secure, transparent, and collaborative AI environment. This nuanced approach unveils the profound impact of decentralisation on AI development, paving the way for a future where trust, ownership, and innovation flourish.

Computational Collaboration

Blockchain technology is revolutionising computational collaboration, shifting from centralised cloud services like AWS to a decentralised network of global resources. This evolution, demonstrated by projects like Render, Akash and Gensyn, empowers participants to contribute computational power, fostering a more inclusive ecosystem. is also part of this change, creating a blockchain-based network for decentralised model inferencing.

Model Development

Unlike the centralised platforms like OpenAI that dominated Web2, Web3 is embracing decentralised model construction. This new approach, exemplified by Bittensor’s network, facilitates collective contributions from a global community. is enhancing this ecosystem by enabling training and fine-tuning within this decentralised framework.

Data Democratisation

Web3 rewrites the rules. No more data locked in corporate vaults. Instead, imagine a vibrant community collaborating to annotate data for groundbreaking research, from medical analysis to self-driving car training. Tools like IPFS and Filecoin ensure secure, distributed storage, empowering individuals to control their data and reap rewards for their contributions. This isn’t just data — it’s a new social contract of ownership, collaboration, and shared progress.

Data Privacy

Blockchain becomes the shield for your information. Imagine training AI on sensitive medical data without exposing patient identities, thanks to advanced encryption and zero-knowledge proofs. Companies like Privasea and ModulusLabs are leading the charge, shifting the paradigm from invasive, centralised models to privacy-first AI. This is Web3’s promise: AI that learns and grows, yet keeps your data safe and under your control.


Solutions like EZKL and Worldcoin offer secure, self-sovereign identity management, eliminating the need for centralised platforms to hold your login credentials. Imagine logging into AI applications without relying on Facebook or Google, enhancing security and putting you in control of your digital identity.

AI-Driven Analytics

Platforms like Dune Analytics and NumerAI utilise cutting-edge AI algorithms to transform data analysis in Web3. Imagine seamlessly exploring complex DeFi protocols, identifying investment opportunities, and making informed decisions, all powered by AI in a transparent and community-driven ecosystem.


Web3 empowers the development of intelligent agents like Autonolas and, capable of navigating decentralised networks and autonomously executing tasks on your behalf. Imagine AI agents managing your investments, negotiating decentralised deals, or optimising your resource allocation across Web3 protocols, unlocking a new era of automation and personalised services.

Final Thoughts

The synergy of blockchain and AI in the Web3 landscape heralds a new era of innovation, combining blockchain’s strengths in data ownership, transparency, and ethical governance with AI’s advanced capabilities. This integration paves the way for empowering data ownership, enhancing transparency in AI systems, and facilitating direct data monetization. It also promises to minimise AI’s energy footprint and promote ethical AI development. stands as a pivotal contributor, exemplifying the integration’s core principles. Leveraging blockchain,By leveraging blockchain, not only bolsters data privacy and security but also democratises model development, enabling training and fine-tuning in a decentralised environment, championing sustainable and ethical AI practices. Additionally,’s platform uniquely lowers technical barriers, enabling broader participation in the Web3 community without requiring extensive AI expertise. Its user-friendly interface and accessible features position distinctively in the Web3 AI domain, making it a crucial player in driving forward this revolutionary integration.

About is a decentralised and permissionless platform for co-owned AI models and Dapps. By harnessing the synergies of Federated Learning and blockchain technologies, we address the growing demands of models and potential data breach threats, guaranteeing secure model training without revealing underlying source data, and fair rewards to data contribution and community collaboration.

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