At the same time, the rise of AI agents across the entire Web has created a need for their interoperability. Agents need a negotiation and commitment framework that allows them to work together across a variety of systems under the hood. While some may see on-chain DeFi participants and AI agents as completely separate today, the NEAR ecosystem envisions an AI-first economy where AI agents and solvers are both responsible for executing intents and fulfilling the transaction commitment to users. 

Today, we are excited to introduce NEAR Intents as part of the core NEAR Protocol. NEAR Intents are a new type of transaction that allows multiple actors to commit to certain changes of their state. This allows the exchange of information, assets, physical goods, and services between AI agents, services, and end users. Intents represent a novel transaction framework for both Web2 and Web3, allowing the execution of off-chain actions and multichain transactions with unparalleled speed, security, ease of use, and reliability.

As the blockchain for AI, NEAR Protocol is launching NEAR Intents to unlock a new era of interactions between AI and the real world, making AI agents and on-chain liquidity readily available to everyone. NEAR Intents are starting in beta today on near.org/intents and will fully launch in Q1 2025.

Leveraging NEAR Protocol’s chain abstraction stack and the intent solver network, NEAR Intents allow trading of any asset on any chain from a single account or by any agent, without the need for bridging or wrapping assets. Both AI agents and end users can take action with NEAR Intents across Web2 and Web3, unlocking a massive range of new functionalities and use cases with better usability than ever. 

In addition to unifying liquidity across all chains, NEAR Intents enable use cases above and beyond simple swaps, including on-chain functions natively for stablecoins across any chains, DeFi programmability for non-smart contract assets like Bitcoin and Dogecoin, collateralizing existing derivatives positions to borrow stablecoins on another chain, or even swapping/selling entire accounts. When you combine any intent type with the power of AI agents, net-new primitives like inter-agent trading, communication, and much more become possible, creating even more new and innovative DeFi opportunities. 

Some of the key features of NEAR Intents include: 

• Decentralized Finance Infrastructure: NEAR Intents enable decentralized, cross-chain DeFi infrastructure for trading of various financial instruments. Designed to be open and permissionless, any developer can launch their own financial products.
• Multichain Abstraction: Leveraging NEAR Protocol’s chain abstraction technology, NEAR Intents seamlessly integrate multiple blockchain networks without relying on traditional bridges, reducing associated risks and costs, as well as wait times. This ensures that any app can add instant support for new networks and tokens.
• Intent-Based Architecture: Instead of a traditional AMM architecture that requires on-chain pools, NEAR Intents operate on an intent-based model with requests for quotes fulfilled by solvers. This allows for better liquidity access (DeFi, CeFi, and off-chain), resulting in better prices.
• AccountFi: Leveraging the concept of AccountFi where financial operations are conducted upon accounts rather than individual tokens, NEAR Intents allow for the trading, lending, and management of accounts possessing different assets, such as fungible tokens, NFTs, and non-transferable tokens like Soulbound Tokens (SBTs).

The NEAR ecosystem believes that the next wave of DeFi will power the future AI economy. NEAR Intents are a major step towards realizing this vision, opening up amazing new use cases for DeFi and unlocking the true power of Chain Abstracted blockchain and AI combined. 

To learn more and get started, go to near.org/intents. 

The post Introducing NEAR Intents: A New Type of Transaction Between AI and the Real World appeared first on NEAR Protocol.

The selected teams will benefit from a comprehensive support package, including technical guidance, funding opportunities, and access to NEAR and Delphi’s expert networks. Each team will also receive $50,000 in compute credits from Aethir, the accelerator program’s premier compute partner. These credits will ensure that every team has the necessary computational resources to develop and deploy resource-intensive AI models—and focus on building without being constrained by infrastructure limitations.

Beginning October 15 and running through early December, NEAR Foundation and Delphi Labs have selected the following cohort teams:

• Hyperspace: Hyperspace is building a decentralized, peer-to-peer AI network. Their mission is to create a unified platform for AI interactions through a “generative browser” serving as a unified interface for AI-powered web interactions.
  • Selection notes: Hyperspace has demonstrated traction with over 7,000 unique nodes in their P2P network and a robust product suite, most recently launching Play, a generative browser agent.
• Almanak: Almanak is an end-to-end platform to build, test, train, optimize, and deploy agents for DeFi. Their mission is to democratize access to sophisticated financial strategies through the use of AI agents.
  • Selection notes: Almanak’s team has spent the last two years building a platform that uses agent-based simulations to optimize on-chain strategies. Their agents are already managing sizable AUM for institutional partners, demonstrating strong traction and expertise in their domain.
• Questflow: Building a next-generation AI agent economy, Questflow is developing a decentralized network that orchestrates multi-agent AI automation. Users can dispatch incentives to both AI and human workers, creating a collaborative environment for autonomous and human-assisted processes.
  • Selection notes: Questflow aims to dominate the AI agentic workflow market, particularly in SEO. Their gamified reward system and strong focus on winning specific verticals make them a standout candidate for advancing AI automation workflows.
• Q Star Labs: Q Star Labs is developing a decentralized generative AI protocol for creating interactive, autonomous AI influencers at scale. Their Reinforcement Learning-based algorithm, Q STAR, is designed for long-term strategic planning to optimize AI content generation and engagement.
  • Selection notes: The Q Star Labs team has a unique blend of expertise in AI, crypto, and finance, launching AI influencers that have organically grown to over 27,000 followers.
• ZettaBlock: ZettaBlock is laying the groundwork for open and trustless AI development through a decentralized platform that provides developers with the infrastructure needed to unify on-chain and off-chain data. By offering modular, adaptable data solutions, ZettaBlock empowers the AI economy with the tools needed to integrate both historical and real-time data from multiple sources.
  • Selection notes: ZettaBlock’s leadership in both AI and data infrastructure makes them a pivotal player in the future of decentralized AI. They’re already supporting major protocols like EigenLayer and Chainlink. Their vision for a unified AI data platform aligns perfectly with NEAR Foundation and Delphi’s mission to foster open and scalable AI infrastructure that developers can rely on.
• Magic: Magic is redefining how private data is used in AI. Their decentralized platform allows companies and developers to train AI models using private data, all while preserving the integrity and privacy of the underlying information. This is achieved through an innovative stack of privacy protocols and decentralized coordination.
  • Selection notes: Magic is tackling one of the toughest challenges in AI—privacy-preserving data access. Their team, with deep roots at Stanford AI Lab, has developed unique methods to keep data secure while enabling AI innovation at scale. Their ability to unlock private data for developers, without compromising security, makes Magic an essential piece of the decentralized AI puzzle.
• dFusion: dFusion is building a platform to solve one of AI’s biggest hurdles: reliable data quality. They’re focused on creating a consensus-driven framework that curates and validates high-quality data, ensuring that AI models are trained on information that is accurate, corroborated, and trustworthy.
  • Selection notes: dFusion’s commitment to consensus-based knowledge curation sets them apart from other players in the data space. By focusing on data integrity and consensus, they’re creating a unique foundation for AI development—one that ensures reliability and transparency. Their work opens up new opportunities for building AI applications that need trustworthy data, which is critical as decentralized AI continues to evolve.
• Peri Labs: Peri Labs is building an open marketplace leveraging underutilized computational resources across billions of consumer devices to power optimized AI models. The Peri Protocol abstracts the complexity of diverse hardware ecosystems, enabling seamless AI model deployment at scale.
  • Selection notes: Peri Labs differentiates itself with a focus on edge compute, uniquely integrating idle resources from consumer-grade devices to run AI models effectively. Their emphasis on model compression, optimization, and decentralized inference positions them as pioneers in making edge AI truly scalable, providing an efficient, privacy-preserving alternative to centralized cloud solutions.

In addition to the resources above, the NEAR x Delphi AI Accelerator Program includes some more unique opportunities for participants:

• Industry-leading speakers: Participants will hear from founders, investors, and experts from AI and Web3, providing insights into current trends and future opportunities. 

• IRL Founder Retreat: An in-person retreat week in New York City for networking, collaboration, and team-building.
• Closing Demo Day: The program will conclude with a Demo Day in early December, showcasing participating teams to our extensive investor network.

NEAR is a leading blockchain platform designed to accelerate the development of decentralized applications with a focus on usability and scalability. Delphi Labs is a research and development firm that specializes in Web3 and DeFi. 

NEAR and Delphi Labs share the common strategic vision of a user-owned AI ecosystem, built on Web3 rails, that provides genuinely better alternatives to developers and users than the prevailing model of centralized AI controlled by big tech companies and governments. The goal is to maximize the benefits of AI for people and communities—and minimize the potential risks—by putting the power of AI where it belongs: in the hands of users. 

The NEAR ecosystem is quickly becoming the go-to home for decentralized, User-Owned AI, and this new AI Accelerator Program with Delphi Labs is a critical step toward integrating projects with significant potential into that ecosystem, setting the stage for the next generation of AI-powered decentralized apps.

NEAR’s first AI x Web3 incubator cohort, which ran from June to August 2024, saw participants achieve significant early milestones while contributing essential pieces to the growing User-Owned AI stack. These milestones include: Hyperbolic hosting the latest open source AI models, including Llama 3.1 405B; Mizu launching their beta platform and attracting 20K users in the first week; and Pond launching their first GNN model for wallet predictions and achieving a 20% prediction rate. The teams have built on the momentum from the incubator to attract serious seed funding interest, collectively raising $26M, with Hyperbolic successfully closing a $7M round.

Stay tuned for details on the cohort’s Demo Day, which will take place on December 14. Teams with a strong vision for decentralized AI applications and infrastructure are encouraged to apply for the next accelerator program cohort to take place early next year.

The post NEAR Foundation and Delphi Labs Partner to Launch New AI Accelerator appeared first on NEAR Protocol.

Building on the success of NEAR’s first AI x Web3 incubator, the NEAR x Delphi Labs AI Accelerator will provide participating founders and teams with the technical, operational, and financial resources to succeed—including access to $50k in compute credits, advisory support from the NEAR co-founders, funding opportunities beginning at $100k, and token launch support.

Applications are open until October 4 for teams interested in joining the accelerator, which begins on October 14.

NEAR Foundation and Delphi Labs share the common strategic vision of a User-Owned AI ecosystem, built on Web3 rails, that provides genuinely better alternatives to developers and users than the prevailing model of centralized AI controlled by big tech companies. The goal is to maximize the benefits of AI for people and communities—and minimize the potential risks—by putting the power of AI where it belongs: in the hands of users. 

NEAR is a leading blockchain platform designed to accelerate the development of decentralized applications with a focus on usability and scalability—co-founded by Illia Polosukhin, one of the originators of the transformer architecture underpinning the present AI surge. The NEAR ecosystem vision for User-Owned AI includes building a community of aligned teams where innovations are shared openly, ensuring consistency and interoperability across projects. It also includes supporting development of the robust, open infrastructure needed to build and deploy AI applications on a decentralized network, ensuring that the future of AI is not only owned by users but is scalable, secure, and efficient for businesses and founders.

Delphi Labs, a research and development firm specializing in Web3 and DeFi, brings to the accelerator a deep understanding of blockchain technology and a strong track record of supporting successful projects. 

“Crypto x AI is the sector we’re most excited about and, given how early it is, we thought it made a lot of sense for an accelerator cohort,” explains Delphi Labs co-founder José Macedo. “NEAR is the ideal partner given that Illia is one of the original co-authors of the transformer paper and has an unparalleled understanding and network within AI.” The Delphi team’s conviction is that competitive dynamics will result in a world of millions of AI models and that Web3 is the ideal substrate for this many-model world. They are interested in finding exceptional founders who have a strong vision for how Web3 can benefit from AI, or how AI can benefit from Web3, and want to rapidly execute on this vision.

NEAR and Delphi are co-designing the upcoming accelerator cohort experience, slated to begin October 14 with a live kickoff gathering planned. Each participating team will receive mentorship, resources, and opportunities for investment: $100k in investment from NEAR Foundation, along with $50k in compute credits, and potential investment of up to $250k from Delphi Labs for further incubation or acceleration following the completion of the program. The program culminates mid-December at an investor-focused demo day with several top funds and angels in the space. 

NEAR’s first AI x Web3 incubator cohort, which ran from June to August 2024, saw participants achieve significant early milestones while contributing essential pieces to the growing User-Owned AI stack. These milestones include: Hyperbolic hosting the latest open source AI models, including Llama 3.1 405B; Mizu launching their beta platform and attracting 20K users in the first week; and Pond launching their first GNN model for wallet predictions and achieving a 20% prediction rate. The teams have built on the momentum from the incubator to attract serious seed funding interest, with Hyperbolic successfully closing a $7M round.

In addition to the NEAR x Delphi Labs AI Accelerator Program, the NEAR Foundation has also teamed up with Betaworks on an in-person acceleration cohort in New York City focused on consumer AI applications in the Web2 space. Running through November 2024, the Betaworks collaboration welcomes a wider roster of projects into the growing User-Owned AI ecosystem and opens further opportunities for bridging the Web3 x AI space to Web2 consumer AI.

To learn more about the NEAR ecosystem vision for User-Owned AI, Illia’s perspective on the intersection of AI x Web3, and the Delphi Labs team’s investment thesis in the decentralized AI space, check out Delphi’s new podcast episode. 

To follow along with the latest in the User-Owned AI ecosystem, join the NEAR.AI and HZN teams in Singapore (September) or Bangkok (November) and tune in to NEAR AI Office Hours every Tuesday.

The post NEAR Foundation and Delphi Labs Partner on AI x Web3 Accelerator appeared first on NEAR Protocol.

The NEAR AI x HZN Incubation Program is part of the NEAR Foundation’s strategic vision to build a User-Owned AI ecosystem that provides alternatives to the corporate-owned, centralized AI monopolizing the landscape today. By putting the power of AI where it belongs—in the hands of users—the goal is to maximize the benefits of AI for people and communities, provide novel economic opportunities, and accelerate creativity and innovation. 

The inaugural NEAR AI x HZN Incubator cohort includes the following teams:

• Mizu is building the first synthetic open data layer aimed at fostering an open, collaborative data ecosystem for AI developers.
  • NEAR and Mizu are developing expansive, open data platforms that support AI research and applications.

• Pond develops foundational crypto models using Graph Neural Networks (GNNs) to analyze on-chain data and predict future behaviors.
  • NEAR and Pond are collaborating on NEAR-native foundational AI models and tools that enhance decentralized applications’ ability to operate at scale.

• Nevermined creates robust payment infrastructure tailored for AI-commerce, facilitating transactional ease for AI developers.
  • NEAR and Hyperbolic are innovating AI agents for applications to streamline and secure payment processes within the AI ecosystem.

• Hyperbolic provides an open-access AI cloud, featuring a GPU marketplace and AI inference services.
  • NEAR and Hyperbolic are working to provide projects with the computational power and hosting AI models necessary for intensive AI tasks.
    
• Ringfence empowers creators and artists to monetize their work while maintaining secure ownership, aiming to be a Web3 version of DALLE-3 that directly benefits creators.
  • NEAR and Ringfence are collaborating on pathways for data monetization, labeling, and indexing of user-generated content.
    
• Exabits supplies GPU compute in a data center environment, providing the essential physical and technical conditions for serious AI training, inference, and fine-tuning.
  • NEAR and Exabits are working to democratize access to high-performance compute resources for the NEAR ecosystem.
    

“We’re thrilled to welcome these six top-tier AI teams to the User-Owned AI ecosystem on NEAR,” says Illia Polosukhin, Co-Founder of NEAR Protocol and CEO of NEAR Foundation. “Spanning data, models, compute, and inference, these projects are innovating in key parts of the emerging AI stack and represent the best of AI x Web3 projects building today.”

The AI incubation program isn’t just about individual project development: it’s about contributing to a larger vision of a collaborative and user-owned AI ecosystem, one in which users and developers have access to pioneering AI solutions that are secure, decentralized, and empowering end users as well as researchers contributing to open source. Each participating team will contribute to the growing NEAR AI x Web3 infrastructure product stack, ensuring that development is shared across the User-Owned AI ecosystem, and fostering a community-driven approach to AI development.

Participants in the NEAR AI x HZN Incubator will receive extensive support over the program’s initial twelve weeks, and in subsequent phases through May 2025. That support includes access to NEAR’s AI expert network, dedicated technical and token launch support, access to compute, and funding opportunities. 

Interested in following along with these exciting teams building the future of AI x Web3? 

1. Join the NEAR Foundation at ETHCC in Brussels, July 11, for the NEAR AI Tech Showcase and hear directly from the founders in the current incubation cohort. RSVP: NEAR AI Tech Showcase.
   
2. Tune in to the weekly NEAR AI Office Hours every Tuesday with NEAR co-founders Illia Polosukhin and Alex Skidanov.

The post NEAR Foundation Launches Incubation Program to Build Infrastructure for User-Owned AI appeared first on NEAR Protocol.