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Artela

Artela is a modular blockchain network designed to enhance smart contract capabilities with native Web3 extensibility. It allows developers to integrate custom logic and off-chain data sources directly into their dApps using native WebAssembly modules. This architecture provides developers with flexible execution environments for building advanced, high-performance decentralized applications.

Fremont, United StatesFounded 202216100+ followers
Updated 20 months ago

Funding

$6M 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.

SC
Funding rounds are not available yet.

Founders

Product

Problem

Traditional blockchain networks face scalability and flexibility limitations when handling complex decentralized applications (dApps). These limitations hinder the development of feature-rich dApps that require dynamic scaling and modular architectures.

Solution

Artela is an extensible blockchain network designed to overcome these limitations by utilizing Parallel EVM execution and on-chain native extensions. This approach allows developers to build dApps with dynamic scaling capabilities and a modular architecture, enhancing both scalability and flexibility. Artela's EVM++ enables infinite scalability through Parallel EVM execution and elastic block space, while Aspect Programming facilitates omni-extensibility through on-chain native extensions at runtime.

Target Audience

Artela targets decentralized application (dApp) developers seeking a scalable and flexible blockchain platform for building complex and feature-rich applications.

Features

  • Parallel EVM execution for increased transaction throughput
  • On-chain native extensions (Aspect Programming) for customizable functionality
  • Modular architecture for flexible dApp development
  • Elastic block space for efficient resource utilization
  • Interoperable Virtual Machines (VMs)
This profile is AI-generated and may contain inaccuracies.