GAM3S.GGGAM3S.GG is a AI agent protocol centered around the G3 token.Web3Pre-seedTechnology / AI companies and projects
Explore the projects classified under Technology / AI in Orbitrum, from artificial intelligence and AI agents to data, semiconductors, cloud software and digital platforms. Open the profiles and available research to understand what each project builds.
Projects in Technology / AI
Stage
All stages
427 projects
GAM3S.GGGAM3S.GG is a AI agent protocol centered around the G3 token.Web3Pre-seed
GAME by VirtualsGAME by Virtuals is a AI agent protocol centered around the GAME token.Web3Seed
GamercoinGamerCoin (GHX) is a digital token that powers the GamerHash platform, enabling gamers to earn by using their unused GPU power for cryptocurrency mining or AI tasks. Gamers can then use their earnings within the platform to buy games or withdraw them as cash. GHX also functions in new AI initiatives, enhancing its use beyond just gaming???.Web3SeedPoland
GataGata is a AI agent protocol centered around the GATA token.Web3Pre-seed
GemachGemach is a artificial intelligence web3 project centered around the GMAC token. GLend – A decentralized lending and borrowing protocol that allows users to supply assets and earn rewards, or borrow without interest. All activity is self-custodial, ensuring users retain full ownership of their assets. GVault – Interest-free vaults that support overcollateralized, zero-interest loans, enabling sustainable and ethical credit access.Web3Pre-seed
GENIUS AIGENIUS AI (GNUS) stands at the intersection of blockchain technology and artificial intelligence, offering a sophisticated platform that merges federated learning with decentralized GPU mining. This innovative approach results in a secure, distributed, and privacy-preserving AI/ML network. The project is designed to be customizable, fast, and secure, featuring idle central processing and dynamically adjusted resource allocation.Web3Series A
GG3GG3 pioneers community engagement through first-to-market AI Agents Swarm, learning from major platforms including X, YouTube, Discord, Telegram, Steam and Twitch. Analyzing 100,000+ Steam games and user behavior data, it bridges Web2 and Web3 via personalized, AI-driven experiences. Powered by GGX, offering AI community management, viral content generation & 24/7 intelligent moderation for 110,000+ active users.Web3Pre-seed
Gigabrain by virtualsGigabrain by virtuals is a AI agent protocol centered around the BRAIN token. Our vision for building the ultimate intelligence platform for degens. Here's what we're working on to give you that institutional-grade edge. After 6 months of building in stealth, I am excited to announce that $BRAIN is live on @virtuals_io We built an institutional-grade trading terminal powered by AI, but made it for crypto natives who understand what real alpha means.Web3Pre-seed
GizaGiza builds autonomous agents that manage DeFi positions on behalf of users. These agents monitor markets, execute strategies, rebalance portfolios, and compound returns, continuously, without human intervention.Web3Series A
GracyGracy is a pioneering project that leverages AI technology to enhance HR development and management. Operating on the Ethereum blockchain, Gracy introduces a unique approach to workplace culture through its web3 and AI-powered virtual assistant. This assistant is designed to foster a productive and engaging online work environment.Web3Seed
GraphAIGraphAI is a AI agent protocol centered around the GAI token. Graph AI is a blockchain intelligence layer powering on-chain AI agents with real-time data and analytics. Built for Ethereum and Base, it connects AI systems to smart contracts and real-world assets (RWAs), enabling smarter, automated decisions across DeFi, wallets, and protocols. By combining AI models, data indexing, and machine learning infrastructure, Graph AI helps developers build autonomous agents that interact with blockchain data, respond to market conditions, and unlock new use cases like on-chain RWA tracking, AI-enhanced trading, and inte...Web3Pre-seed
GrassGrass is a decentralized web scraping protocol where users can monetize their unused internet bandwidth by contributing it to a network used for training AI models. It aims to democratize data collection for AI by compensating users for their contributions, offering a more equitable distribution of benefits.Web3SeedZZAbout this sector
This sector includes Artificial Intelligence, Big Data and AI Agent categories, but it also covers semiconductors, consumer devices, software infrastructure, internet platforms, gaming and streaming. A company belongs here because of its application classification; inclusion alone does not mean AI is its main activity.
How to compare projects
Start with the product or infrastructure layer. AI software, chips, cloud services and consumer platforms serve different purposes. The sub-sector list and project descriptions help distinguish them before you compare the available evaluations.
Projects follow the categories assigned in the Orbitrum application. This collection supports research and discovery; it is not an investment ranking.
Industry definitions
Artificial Intelligence (AI) (163)
Companies and projects classified specifically under artificial intelligence.
Big Data (12)
Projects involving the collection, processing or use of large datasets.
AI Agent (260)
Projects classified specifically around AI agents.
Questions to guide your research
- What does the project build, and at which layer of the technology stack?
- What use case or customer need does the available research address?
- Which capabilities are demonstrated, and which remain expectations in the analysis?
Questions about this sector
Are all projects in Technology / AI artificial intelligence companies?
No. Artificial Intelligence and AI Agent are specific categories inside a broader sector that also includes chips, devices, cloud software and internet platforms.
Why is there a separate Technology sector?
Technology is another sector in the Orbitrum application, with its own industry assignments. Some activity labels overlap. Both collections preserve the application's categories rather than merging them by name.
