What Is SIWA Public Testnet? Understanding Sahara AI’s Vision for Decentralized AI

Imagine a world where every person who contributes data to train artificial intelligence models is not only acknowledged but also rewarded. That vision is now beginning to take shape through a groundbreaking platform called SIWA public testnet, recently launched by Sahara AI. 

With this initiative, Sahara AI is creating a future where AI development is open, equitable, and built on transparent blockchain technology.

What is SIWA Public Testnet?

SIWA public testnet is the first public gateway to the Sahara Blockchain, a purpose-built infrastructure designed to track and manage the creation, licensing, and monetization of AI assets on-chain. 

In simpler terms, SIWA allows developers and data contributors to register their AI datasets and models as unique digital assets, track their usage, and receive compensation for their value.

Launched by Sahara AI, a full-stack AI-native blockchain platform, the SIWA public testnet serves as a testing environment for these decentralized protocols. It is intended for developers, researchers, and data contributors who want to explore the tools and services that Sahara AI will offer once the platform goes live on its mainnet.

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Why SIWA Matters in Today’s AI Landscape

Artificial intelligence depends on vast amounts of data—often collected from the public, knowingly or unknowingly. Yet the individuals who contribute that data rarely see any benefit. 

Sahara AI aims to change this imbalance by offering a platform where users can register ownership of their data and track how it is used.

Through SIWA, contributors can tokenize their datasets as on-chain assets using NFT standards. These tokens act as proof of ownership and are stored in a global registry maintained by Sahara’s decentralized infrastructure. 

This shift brings transparency, accountability, and potential income to data creators in ways never before seen in the AI industry.

What You Can Do on the SIWA Testnet

The SIWA public testnet introduces several important features in its initial phase:

1. Dataset Registration: Contributors can upload structured datasets—such as .json or .csv files—through the Sahara Developer Portal. These are tokenized as ERC-721 NFTs, offering cryptographic proof of ownership.
2. On-Chain Attribution: Once registered, datasets are embedded with attribution tags like “Trained On” and “Derived From,” making it easy to trace how they are used in downstream AI development.
3. Monetization Pathways: While not active in Phase 1, future updates will allow dataset owners to set licensing terms and receive revenue when their data is used by others.

A Glimpse at SIWA’s Early Success

During its private testing phase, Sahara AI recorded over 3.2 million total accounts and 1.4 million daily active accounts. Their Data Services Platform (DSP) attracted over 200,000 users, signaling strong interest in decentralized AI infrastructure. 

The DSP allows distributed contributors to help annotate data, with built-in peer review systems ensuring data accuracy. In one internal review, approved datasets achieved over 95% accuracy—demonstrating both scale and reliability.

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The Bigger Picture: Building a Full-Stack AI Ecosystem

SIWA is just the first piece of a larger ecosystem. Sahara AI is also developing three flagship applications:

• AI Developer Platform: Tools and infrastructure for creating and training models, agents, and workflows.
• AI Marketplace: A decentralized hub to buy, sell, and license AI assets.
• Data Services Platform: A crowd-sourced annotation platform powered by contributors around the world.

These components together form a chain-agnostic, full-stack environment for building AI applications in both Web2 and Web3 contexts.

Global Partnerships Strengthen the Ecosystem

The SIWA public testnet is launching alongside a network of over 40 ecosystem partners and clients. These include major technology and research institutions such as Microsoft, Amazon, MIT, Google Cloud, UC Berkeley, and Together AI. 

This broad support underscores the industry’s growing recognition of the need for transparent and fair AI development.

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What’s Next for SIWA?

The SIWA roadmap is divided into four key phases:

1. Phase 1 – Dataset Registration and Ownership
   The current phase focuses on enabling contributors to tokenize datasets and establish ownership records on-chain.
2. Phase 2 – Licensing and Royalty Vaults
   Will introduce licensing options, automated revenue distribution, and royalty systems to compensate creators directly.
3. Phase 3 – Permissionless Open-Source Protocols
   SIWA will become fully permissionless, allowing developers worldwide to access and extend the protocol.
4. Phase 4 – AI Pipeline Registration and Proof-of-Contribution
   Future updates will enable the tracking and registration of complex AI development pipelines, ensuring full attribution across multi-stage processes.

Sahara AI believes that those who build and power AI, developers, data contributors, and model creators—should also benefit from its success. 

With SIWA public testnet, that belief is becoming a reality. By moving AI ownership and tracking on-chain, SIWA ensures that contributors are no longer invisible but become active stakeholders in the AI economy.

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Frequently Asked Questions (FAQ)

What is SIWA public testnet?

SIWA public testnet is a decentralized test environment launched by Sahara AI, allowing contributors to register, verify, and tokenize their AI datasets and models on-chain.

Who can use SIWA?

Developers, researchers, and data contributors from any blockchain can participate in the SIWA public testnet to test its features and register AI assets.

What kind of data can I register on SIWA?

Currently, SIWA accepts text-based datasets in formats like .json, .csv, and .txt. The data should be structured, labeled if possible, and useful for training or evaluating AI models.

What is the benefit of tokenizing a dataset?

Tokenization provides cryptographic proof of ownership and allows contributors to track usage, set licensing terms, and potentially earn revenue.

Is SIWA live now?

Yes, SIWA is now publicly accessible in its first testnet phase. Developers and contributors can register datasets and explore the platform’s early features.