LazAI Launches Testnet for Decentralized AI Development

Aug 21, 2025
LazAI has launched its testnet, offering developers a platform to build decentralized AI agents within a Web3 ecosystem, as announced in a press release.

LazAI has launched its testnet, providing a new environment for developers to build, test, and deploy decentralized AI agents. Announced in a press release, the testnet introduces the Alith Framework, which supports cross-language SDKs in Python, Node.js, and Rust, and offers high-performance inference capabilities and real-time monitoring tools.

The testnet emphasizes composability, interoperability, and scalability, allowing developers to contribute real data and develop AI agents using on-chain privacy-preserving proofs. Key features include the Data Anchoring Token (DAT) for AI asset management and a scalable architecture that supports modular computing and decentralized data feeds.

LazAI's community-driven governance structure, known as the iDAO model, guides the platform's development, ensuring network integrity and alignment with user priorities. The company has also opened a whitelist campaign for early access to its upcoming Companion Data Anchoring Token (DAT) launch, scheduled for August 20, 2025.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI in Finance AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

Guide
23 AI meeting assistants for financial advisors

23 AI meeting assistants for financial advisors

What each one captures, what it keeps and which records it changes, from standalone apps to the AI built into advisor CRMs.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.