NEAR AI Accelerator Cohort 1: the eight teams
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Lists the eight NEAR AI Accelerator Cohort 1 teams with a line on each, from P2P AI networks to DeFi agents and data validation. Each team gets $50k in Aethir compute credits.
Key claims
Each team gets $50k Aethir compute credits
Cohort runs 15 Oct to early December
$NEAR AI Accelerator Cohort 1 announced! 🤖 ✨
Definitely some interesting teams building AI on @NEARProtocol.
Find the full list below. ↓
The selected teams will get a complete support package, which includes technical guidance, funding opportunities, and access to expert networks at @NEARProtocol and @Delphi_Digital.
Each team will also receive $50,000 in compute credits from @AethirCloud, the accelerator program’s premier compute partner.
These credits ensure that every team has the necessary computational resources to develop and deploy resource-intensive AI models.
Beginning Oct 15th and running through early December, @NEARFoundation and @Delphi_Digital have selected the following cohort teams:
➤ @hyperspaceai: Building a decentralized, peer-to-peer AI network, Hyperspace’s mission is to create a unified platform for AI interactions through a generative browser. With over 7,000 nodes in their P2P network and the recent launch of their browser agent, Play, Hyperspace is well-positioned to drive AI-powered web interactions.
➤ @almanak: This end-to-end platform focuses on building, testing, training, and deploying AI agents for DeFi. Almanak is democratizing access to sophisticated financial strategies through agent-based simulations. Their agents already manage sizable AUM for institutional clients, demonstrating the team’s deep expertise and traction.
➤ @questflow: Developing a next-gen AI agent economy, Questflow enables decentralized orchestration of multi-agent AI automation, allowing users to incentivize both AI and human workers. Their focus on dominating specific verticals, particularly SEO, with a gamified reward system, makes them a key player in the AI automation space.
➤ @qstarlabs_ai: A decentralized generative AI protocol, Q Star Labs creates interactive AI influencers at scale. Their reinforcement learning algorithm, Q STAR, optimizes long-term strategic content generation. With over 27,000 followers for their AI influencers, they bring a unique blend of expertise across AI, crypto, and finance.
➤ @ZettaBlockHQ: Laying the foundation for open and trustless AI development, ZettaBlock provides developers with infrastructure to unify on-chain and off-chain data. Supporting major protocols like EigenLayer and Chainlink, ZettaBlock's modular and adaptable solutions position them as a critical player in the future of decentralized AI.
➤ Magic: Focused on privacy-preserving AI, Magic’s decentralized platform allows companies to train AI models using private data without compromising privacy. Their innovative privacy protocols and decentralized coordination unlock private data for AI developers, making them an essential component in the AI ecosystem.
➤ @dFusionAI: Tackling the issue of data quality in AI, dFusion is building a consensus-driven framework to curate and validate high-quality data for AI training. Their focus on data integrity and consensus ensures that AI models are trained on trustworthy, corroborated information, setting a new standard for decentralized AI.
➤ @peri_labs: Peri Labs is leveraging underutilized computational resources from consumer devices to power optimized AI models. Their focus on edge compute, model compression, and decentralized inference provides a scalable, privacy-preserving alternative to centralized cloud solutions, positioning them as pioneers in edge AI.
More info on the first Accelerator Cohort here. ↓
QUOTING @NEARProtocol
“I believe NEAR will be a powerhouse for AI” - @ilblackdragon But we won’t get there alone. Eight teams. Twelve weeks. One AI incubator from @nearhorizon & @delphi_labs.
“I believe NEAR will be a powerhouse for AI” - @ilblackdragon But we won’t get there alone. Eight teams. Twelve weeks. One AI incubator from @nearhorizon & @delphi_labs.
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