OORT DataHub
Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets.
Platform Highlights:
Worldwide Collection: Tap into global contributors for comprehensive data gathering
Blockchain Security: Every contribution tracked and verified on-chain
Quality Focus: Expert validation ensures exceptional data standards
Platform Benefits:
Rapid scaling of data collection
Complete data providence tracking
Validated datasets ready for AI use
Cost-efficient global operations
Flexible contributor network
How It Works:
Define Your Needs: Create your data collection task
Community Activation: Global contributors notified and start gathering data
Quality Control: Human verification layer validates all contributions
Sample Review: Get dataset sample for approval
Full Delivery: Complete dataset delivered once approved
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Ango Hub
Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality.
Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset.
Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.
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Axiom
Access on-chain data more efficiently and at reduced costs, leveraging the trustless capabilities of ZK technology. Utilize transactions, receipts, and historical states directly within your smart contract. Axiom enables computation across the full history of Ethereum, with all operations verified on-chain through ZK proofs. Merge information from block headers, accounts, contract storage, transactions, and receipts seamlessly. Utilize the Axiom SDK to define computations across Ethereum's history using Typescript. Tap into our extensive library of ZK primitives designed for arithmetic, logic, and array functions, all of which can be verified on-chain. Axiom ensures that query outcomes are verified on-chain using ZK proofs before relaying them to your smart contract's callback. Create genuinely trustless on-chain applications with ZK-verified outcomes provided by Axiom. Evaluate and compensate protocol participants completely trustlessly, without relying on external oracles. Recognize and reward contributions to the protocol based on on-chain activity, extending even to external protocols, while also implementing penalties for misconduct according to tailored criteria. This framework fosters a more reliable and accountable decentralized ecosystem.
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Synternet
Currently, developers encounter significant obstacles when trying to obtain real-time and dependable data across various blockchains. They often depend on disconnected, centralized data sources and inadequate infrastructure, which hinders both development and broader adoption. Synternet presents a revolutionary solution by offering permissionless, real-time data infrastructure that allows developers to create the next wave of cross-chain decentralized applications (DApps) through the use of composable data streams. This innovative data layer supports a variety of projects in fields such as AI, DeFi, decentralized physical infrastructure networks (DePIN), trading, IoT, gaming, governance, and beyond. By leveraging this technology, developers can access real-time data to enhance complex models on-chain. Furthermore, they can construct decentralized machine learning models that utilize data and events from multiple chains, enabling them to verify ownership through cross-referencing on-chain data. This capability allows for the validation of provenance across diverse sources of truth, independent of the blockchain in use. Additionally, Synternet facilitates the integration of real-world sensor data into blockchain applications, enhancing their functionality and reliability. In this way, developers can create more robust solutions that take full advantage of the vast potential of blockchain technology.
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