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Technology / 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

427 projects

Synesis OneSynesis One represents an innovative ecosystem designed to democratize the creation and utilization of data for AI training through a decentralized autonomous organization (DAO). At its core, it leverages the power of community engagement and blockchain technology to address the challenges of data quality and availability in AI development. By introducing a play-to-earn model, Synesis One incentivizes users to participate in games that contribute to the generation of valuable datasets for AI training.Web3Pre-seed
SypoolSypool (SYP) emerges as a groundbreaking synthetic asset management protocol on the Solana blockchain, designed to democratize access to professional financial services. By allowing investors to exchange fund shares with tokens like BTC, ETH, and SOL, Sypool transforms traditional fund management into a decentralized experience. Unlike conventional funds, Sypool fund managers employ blockchain-specific strategies to maximize returns for investors, offering a unique blend of traditional and innovative financial tactics.Web3Pre-seed
TaggerTagger proposes a framework whereby data can be gathered, labeled, verified, and exchanged without relying on a centralized authority. This platform functions as a full-stack AI data solution, establishing a cross-border data authentication protocol and creating a permissionless hub for collection, labeling, management, and trading. To achieve this, Tagger leverages Web 3’s crowdsourcing model for data labeling and collection, tapping into a broad pool of contributors rather than depending solely on professional annotators.Web3Series B

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About 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.

Relevant research

Authors covering these projects

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