Zetrix AI Enterprise AI and Blockchain Infrastructure

Zetrix AI is a Malaysian technology company working across blockchain, artificial intelligence and digital public infrastructure. Its best-known technology is the Zetrix Layer-1 public blockchain, which is designed for governments, enterprises and financial institutions that need infrastructure for digital identity, smart contracts, cross-chain applications and cross-border transactions.

The company is also expanding its AI activities. In 2025, Zetrix AI launched NurAI, an Islamic values-based large language model, and established the ASEAN China AI Lab as part of its broader AI and technology development strategy.

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What is Zetrix AI Used for?

Zetrix AI is not a conventional consumer AI application. Its technology is mainly intended for organisations that need blockchain and AI infrastructure.

The Zetrix blockchain can support smart contracts, decentralised applications, digital identity systems, verifiable credentials and cross-border data or asset transactions. Its documentation describes the network as a Layer-1 blockchain designed to connect different blockchain environments and support enterprise and government applications.

The company's newer AI initiatives extend this infrastructure into specialised applications. For example, NurAI is designed around Islamic values and subject areas including finance, law, healthcare, history and Quranic studies.

How Does Zetrix AI Work?

The underlying Zetrix technology operates as a public Layer-1 blockchain. Developers can build smart contracts and decentralised applications on the network, while organisations can use its infrastructure for identity, credentials and cross-chain services.

Zetrix uses a hybrid consensus approach combining Delegated Proof of Stake and Zetrix Byzantine Fault Tolerance. Its documentation describes a current throughput of around 2,000 transactions per second and interoperability with networks including Ethereum and Hyperledger.

For developers, Zetrix provides APIs and SDKs that can be used to create transactions, interact with smart contracts, evaluate transaction fees and retrieve blockchain information. SDK support includes environments such as Node.js and Go.

How to Use Zetrix AI?

Using Zetrix depends on which part of the ecosystem a user wants to access. Developers can begin with the Zetrix documentation and developer resources, create blockchain applications and interact with the network through available APIs and SDKs.

Businesses can explore solutions such as digital identity, verifiable credentials and trade-related services. ZID, for example, is designed around self-sovereign identity and allows credentials to be verified across different environments using decentralised identifiers and verifiable credentials.

Developers working with the blockchain should also account for transaction fees. Zetrix documentation explains that fees depend on factors such as transaction complexity, gas consumption and the gas price used for a transaction.

What Makes Zetrix AI Different?

One of the notable aspects of Zetrix AI is its combination of blockchain infrastructure and AI development. The company is not focused exclusively on creating a consumer chatbot or a single AI application.

Its blockchain ecosystem addresses digital identity, cross-border trade and verifiable credentials, while its newer AI initiatives focus on specialised models and AI applications. In 2026, Zetrix AI also announced collaborations involving Islamic finance AI agents built on NurAI and research applications for academic literature.

This broader infrastructure approach helps explain why the name appears in discussions around blockchain, Web3, AI and government digitalisation.

Limitations to Consider

Zetrix AI is primarily an enterprise and institutional technology ecosystem, so it may not be suitable for someone simply looking for a general-purpose AI assistant.

The technology can also require blockchain knowledge, particularly when developers are working with wallets, smart contracts, transaction fees and decentralised applications.

Another consideration is pricing. There is no simple monthly subscription that represents the entire Zetrix ecosystem. Individual services can have their own commercial arrangements, while transactions on the blockchain require network fees.

Supported Languages

Zetrix's public documentation and website are available primarily in English, with Chinese-language resources also available. Individual AI applications developed within the ecosystem can support additional languages depending on their specific implementation.

Pricing Details

There is no standard public subscription price for Zetrix AI or the Zetrix blockchain. Enterprise solutions are generally discussed through business and institutional arrangements rather than consumer pricing pages.

For blockchain activity, users pay transaction fees. Zetrix documentation explains that transaction costs depend on the payload, gas price and resources required to process the transaction.

The Zetrix price can also refer to the market value of the network's native digital asset. That value is separate from enterprise software pricing and changes according to cryptocurrency market conditions.

API Available (Yes/No)

Yes. Zetrix provides blockchain APIs and developer SDKs for transactions, smart contracts, account operations and other blockchain functions.

Mobile App (Yes/No)

Yes, the wider Zetrix ecosystem includes mobile-oriented applications such as the Zetrix Wallet, but Zetrix AI itself is not primarily presented as a standalone mobile AI application.

Browser Extension (Yes/No)

No dedicated Zetrix AI browser extension was identified.

Zetrix AI Personal Review

Zetrix AI is better classified as an enterprise technology ecosystem than as a typical AI tool. Its strongest area is the combination of blockchain infrastructure with real-world applications such as digital identity, trade documentation and government digital services.

The blockchain side has a clearly defined developer ecosystem, including APIs, smart contracts and interoperability features. The company's AI expansion is also notable because it moves beyond general-purpose AI into specialised applications such as NurAI and domain-specific AI agents.

For an ordinary consumer, however, much of the platform may feel too infrastructure-focused. Its practical value is more obvious to developers, enterprises, governments and organisations building digital services.

Improvement Ideas

Zetrix AI could make its ecosystem easier for new users by providing clearer separation between its blockchain infrastructure, AI products, digital identity services and enterprise applications.

A central pricing guide for each commercial service would also help businesses understand the likely cost of adoption. More beginner-oriented developer tutorials could make the blockchain platform easier to evaluate without requiring extensive prior Web3 knowledge.

For AI products, additional public documentation covering model capabilities, benchmarks, data governance and deployment options would also help technical users assess the technology more thoroughly.

Final Thoughts

Zetrix AI is a Malaysian technology company whose ecosystem spans Layer-1 blockchain infrastructure, artificial intelligence, digital identity and cross-border digital services. The company's current direction is broader than the original Zetrix blockchain, with AI initiatives such as NurAI and the ASEAN China AI Lab becoming part of its technology portfolio.

Regarding what happened to Zetrix AI, the important change is that the corporate entity formerly known as MY E.G. Services Berhad is now called Zetrix AI Berhad. The company has retained Zetrix as the name of its Layer-1 blockchain platform. Its 2026 announcements explicitly identify Zetrix AI Berhad as the former MY E.G. Services Berhad.

For users researching zetrix ai berhad, the company is therefore best viewed as the corporate entity behind the Zetrix ecosystem and its broader blockchain and AI initiatives. The blockchain itself remains focused on enterprise, government and cross-border applications, while the AI side is expanding into specialised models and agents.

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