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Azuro

Azuro provides a blockchain-based prediction markets protocol that enables developers to create and launch fully-functional prediction applications quickly using modular components and the AzuroSDK. By leveraging robust liquidity pools and oracle feeds, Azuro addresses the need for scalable and reliable infrastructure in the prediction market space.

Tucson, United StatesFounded 202121500+ followers
Updated 20 months ago

Funding

$18.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

AXSV
Funding rounds are not available yet.

Founders

Product

Problem

Creating and launching prediction market applications requires significant development effort and infrastructure investment. Developers need reliable liquidity pools and oracle feeds to ensure the functionality and scalability of their applications.

Solution

Azuro offers a blockchain-based prediction markets protocol designed to streamline the creation and deployment of prediction applications. The protocol provides developers with modular components and the AzuroSDK, enabling them to build fully functional applications rapidly. By leveraging shared liquidity pools and oracle feeds, Azuro provides the necessary infrastructure for scalable and reliable prediction markets. Developers can customize features and functionalities using plug-and-play components, abstracting away complexities.

Target Audience

The primary audience includes developers and organizations looking to create and deploy prediction market applications on the blockchain.

Features

  • Modular, plug-and-play components for expansive feature customization
  • AzuroSDK for rapid development and deployment of prediction applications
  • Shared liquidity pools to ensure market depth and stability
  • Oracle feeds for reliable and accurate data sourcing
  • On-chain infrastructure for transparent and verifiable predictions
This profile is AI-generated and may contain inaccuracies.