Alaya is a distributed AI data platform for data collection and labeling. Alaya AI connects AI model developers with individual AI data providers through a gamified platform supported by Web3 communities and token/NFT incentives.

ORO is a platform that enables users to contribute data to AI development while maintaining privacy through advanced cryptography and receiving compensation. It focuses on turning user data into an asset for AI, leveraging technologies like zkTLS for security.

Privasea is an AI + DePIN project focused on building a decentralized privacy computing infrastructure. The company’s mission is to provide efficient, user-friendly Fully Homomorphic Encryption (FHE) solutions, tailored for both web2 and web3 environments, with a strong emphasis on machine learning (ML) applications.

distribute.ai is a consumer friendly distributed compute network that is designed to meet the immense demand for open source model inference. The distribute.ai application layer connects providers to consumers with an optimized experience for running curated open-source models. distribute.ai has a highly efficient provider onboarding process, and a user friendly client side that eliminates the need for additional infrastructure development.

Kaito is the distribution center of crypto for information, attention and capital evolving to become the interoperable InfoFi layer that sits on top of the internet’s walled gardens, connecting creators, users, and brands in a fundamentally new way. By indexing thousands of sources — across social media, governance forums, research, news, podcasts, conference transcripts, and more — and combining this with proprietary search algorithms, semantic LLM capabilities, and real-time analytics, Kaito Pro streamlines access to high-quality, actionable insights in the crypto space. Kaito Yaps leverages advanced AI algorithms to extract and interpret rich signals — such as social graphs and semantic understanding — to quantify attention. Kaito Connect is AI-powered InfoFi network that enables the market to distribute attention and capital in a fairer, more transparent and more efficient way, while rewarding all participants.

Virtuals Protocol is a decentralized factory that makes all sorts of AI characters (that can respond via text, voice and motion) for different virtual worlds, like games or online spaces. VIRTUAL Protocol aligns incentives for the decentralized creation and monetization of AI personas for every virtual interaction (gaming, metaverses, online interactions, or beyond).

Mirra is the decentralized AI model trained on community-curated data. Unlike traditional AI systems that rely on static, closed datasets, Mirra learns from real-time contributions from Web3 users.

Mira is a vertically integrated framework tailored for AI-native applications. It incorporates a unique economic model where payment for end-use of AI resources, including models, data, and compute, is settled via crypto rails.

DeAgentAI is a decentralized AI agent network that builds an AI feedback mechanism incentive protocol in Web3 to achieve "insight proof" by tightly coupling feedback with the training process, and is a network platform dedicated to building decentralization. The platform enables users to create and deploy their own AI agents, incentivizing high-quality agents through a token-based economy, thereby driving innovation and development in the field of artificial intelligence.

Edenlayer is the Agentic Collaboration Layer that enables an Agentic Economy where agents don't just automate tasks, but co-ordinate across specialised skillsets to create value.

FLock.io aims to build a decentralized, privacy-preserving solution for Artificial Intelligence. It has proposed a research initiative called Federated Learning Blocks (FLocks for short), which uses blockchain as a coordination platform among data holders to conduct Machine Learning while keeping data local and private. By replacing the central entity that collects data and organizes machine learning with blockchain, FLocks aims to empower users to mine insights from their own data and monetize at their own discretion.

DX Research Group is a new experiment in AI & crypto that first experience DX01: SINGULARITY is COMPLETED.

0G (Zero Gravity) is a decentralized AI operating system that acts as the foundational layer for decentralized AI applications and chains. It efficiently orchestrates utilization of hardware resources such as storage and compute and software assets such as data and models to handle the scale and complexity of AI workloads.

SKYAI is a data infrastructure for large language models (LLMs) that integrates blockchain data with AI agents using an extended Model Context Protocol (MCP). It enables scalable, real-time access to multi-chain data for builders, agents, and data providers.

Nous Research is a decentralized AI gas pedal company and research institute dedicated to developing AI models and tools, with a focus on deeply integrating AI with blockchain technology. The organization has built a series of projects based on the Solana network, including Nous Psyche, with a focus on language models, simulators, and AI orchestration platforms (such as the open source Nous-Forge), all in an open source model.

Recall is a project building a network for AI agents to store, share, and trade knowledge onchain. It enables agents to prove and monetize data, using blockchain for recording transactions and strategies. Recall is merged by Textile and Ceramic development company 3Box Labs.

Balance, developed by the Epal team, is a next-generation social and interactive entertainment infrastructure that combines AI and Web3 technologies. Its core objective is to explore and innovate interactive entertainment models through AI and blockchain technology, rather than simply enhancing AI Agent functionalities. Balance.Fun integrates deeply with the Epal Fans Protocol, enabling users to create and deploy personalized AI Epals while earning value through interaction and community-sharing mechanisms.

Giza is building a trustless protocol to decentralize machine learning inference computation while providing guardrails powering the open economy for open-source AI. Giza aims to develop a transparent and trustless ML ecosystem by enabling a lean protocol for the deployment and use of verifiable ML models.

Theoriq is a modular and composable AI Agent Base Layer for machine learning and related complex data-driven computations for Web3. It is partnering with leading Web3 protocols as design partners to apply machine learning to DeFi, gaming, social, and data infrastructure.

GAIB is the economic layer for AI and computing power. GAIB creates a new asset class that allows anyone to directly invest in AI, GPU, and computing power markets. It enables true AiFi, GPU tokenization, GPU-backed stablecoins, derivatives, and more.

Billions Network is a digital identity verification platform designed to offer a future where humans and AI can trust each other, including Sam Altman’s crypto project, World. The platform, which utilizes zero-knowledge proof tech, seeks to provide a scalable and secure method for verifying both human and AI identities.

Infinity Ground is a Web3-native Agentic IDE empowers creators to craft dynamic, interactive experiences with modular Intelligent Development Kits (IDKs), making innovation as simple as playing with Legos. Powered by its proprietary ING Network and Initia’s Interwoven Stack technology, Infinity Ground supports multi-chain interoperability across major blockchain networks such as Base, BNB Chain, and Kaia. By empowering “super individuals,” Infinity Ground aims to accelerate the creation and expansion of AI-driven applications, further driving innovation and development within the Web3 ecosystem.

UnifAI is a platform enabling autonomous AI agents to perform on-chain and off-chain tasks within a Web3 ecosystem. It features UniQ for task automation, a marketplace for agent services, and infrastructure for tool discovery.

Gata (formerly Aggregata) aims to be the leading data provider to advance safe, humane superalignment by creating cutting-edge AI data. Cutting-edge AI requires cutting-edge data: 1. Expand AI capabilities to superhuman levels; 2. Ensure human alignment with superalignment.

Arcium is a parallelized confidential computing network. It provides developers and applications with a trustless, verifiable, and efficient framework to run encrypted computations. Arcium aims to bring confidentiality to every on-chain application and become the global computing network for the decentralized internet. Multiparty computation eXecution Environments (MXEs) are the backbone of the Arcium Network. They combine Multiparty Computations (MPC), Fully Homomorphic Encryption (FHE), Zero-Knowledge Proofs (ZKPs), and more to enable encrypted computations.

Mind Network is an "HTTPZ" infrastructure that employs total homomorphic encryption (FHE) to usher Web3 into a new era of quantum resistance and end-to-end encryption. Mind Network offers unique solutions for data sovereignty protection, fair consensus, private voting, secure cross-chain transport, and trusted AI.

Talus Network is a blockchain platform with a focus on decentralizing artificial intelligence. The network harnesses the power of Move, emphasizing security, speed, and an enhanced developer experience. By fostering a diverse ecosystem of smart agents for decentralized applications, Talus Network creates a future where technology empowers its users in an equitable and accessible way. For instance, in DeFi, monetizable smart agents optimize liquidity-providing strategies across various protocols and chains. In gaming, they act as autonomous agents deployed by players or guilds to collect resources on their behalf.

As a platform providing AI computing and data infrastructure, CESS focuses on AI agent applications and frameworks, dedicated to achieving data privacy and sovereignty.

MIRAI is an AI-driven metaverse platform that offers interconnected world-building, dynamic AI interactions, HyperGen tech, and a marketplace for Synthetic Derivative RWAs.

Bittensor is an open-source protocol that powers a decentralized, blockchain-based machine learning network. Machine learning models train collaboratively and are rewarded in TAO based on the informational value they provide to the collective. TAO also provides external access, allowing users to extract information from the network while customizing its activities to their needs. The ultimate goal is to create a pure market for artificial intelligence, an incentivized environment in which buyers and sellers of this valuable commodity can interact in a trustless, open, and transparent way.