June 18, 2024
Alaya AI

Looking for a comprehensive review of Alaya AI? You’re in the right place!

I thoroughly tested the platform and am here to share its most important features, backend functionalities, pros and cons, pricing, and more. Additionally, I’ll provide a step-by-step guide on how to get started with it.

Sounds good? Let’s dive in!

What is Alaya AI?

Alaya AI is an open Web3 AI data platform designed for efficient data collection and labeling. Its primary goal is to provide high-quality, secure, and scalable data for various AI applications across different industries.

In simple terms, Alaya AI serves as a bridge connecting AI model developers with individual data contributors or providers.

How It Works:

  1. AI model developers share project requirements with Alaya AI.
  2. Alaya AI generates algorithm-assisted tasks and distributes them among the AI data community.
  3. Sample collection or annotation is performed by relevant data providers or contributors.
  4. Finally, Alaya AI evaluates the quality of the collected data and delivers it to AI model developers.

This gamified platform connects data communities with AI through social commerce, ensuring high-quality, secure data for the AI industry. Alaya AI operates under the motto “For AI, Through AI.”

As of now, Alaya AI boasts over 8 million registered users, more than 1.1 million active users, and a daily transaction volume exceeding 90K.

Before diving into the features, here’s a quick overview of the pros and cons of Alaya AI:

Pros Cons
Cost-effective compared to traditional data providers Heavily reliant on user participation for data collection
Efficient data collection and labeling Steep learning curve for beginners
Rewards through gamification Being a new platform, it needs time to stabilize fully
Enhanced privacy with blockchain, GDPR policies, zero-knowledge encryption
Decentralized approach for data storage and protection
Built-in quality checks for reliable AI training


Here are some key features of Alaya AI:

  1. Versatile Data Collection Alaya AI collects data through various media including surveys, images, videos, social media interactions, polls, apps, and websites. This makes it highly effective for businesses seeking specific data.However, the data generated by users can sometimes be inconsistent.
  2. Gamified User Experience Alaya AI combines model training and quizzes with game-based elements to enhance your data labeling skills. The algorithm-assisted task assignment method matches tasks with users based on their current level.As you contribute more data and complete tasks, Alaya AI rewards you with badges and cryptocurrency. This gamified environment encourages user participation, but it may attract users more interested in rewards than providing quality data.
  3. Task Categories Alaya AI supports three task categories for data collection:
    • General Tasks: Visual perception, object recognition, text interpretation
    • Specialized Tasks: Niche cultural knowledge, professional expertise, non-standard dialects
    • Advanced Tasks: Open-ended questions, multi-layered solutions
  4. Advanced Data Annotation and Labeling Unlike other platforms, Alaya AI uses different quizzes to label data. It uses advanced AI models to handle large datasets and generate valuable results. These models are fine-tuned through continuous AI training for precise predictions.
  5. Main Collection Categories Alaya AI provides various data collection categories:
    • Text: Legal, social, business, academic texts
    • Images: Real estate, faces, groceries, office environments
    • Voice: Noise distinction, speech recognition, emotional sentiment analysis
    • Video: Movie scenes, store foot traffic, security footage
  6. Main Labeling Categories Alaya AI includes key labeling categories:
    • Object Detection: Placing bounding boxes to identify and outline specific objects.
    • Image Classification: Identifying images and classifying them into specific categories.
    • Instance Segmentation: Recognizing and distinguishing individual instances of the same object.
    • Semantic Segmentation: Segmenting and identifying parts based on content.
    • Keypoint Annotation: Identifying key points of objects to understand their features.
  7. ALA Token Alaya AI uses its own cryptocurrency called ALA tokens, built on the Polygon network, to incentivize participation in platform activities like data labeling or verification.
  8. NFT Marketplace Alaya AI supports an NFT marketplace where you can trade your achievements and contributions as NFTs, allowing you to monetize and use your assets.
  9. Decentralized AI Framework Alaya AI functions as a decentralized AI framework, ensuring that data collection and labeling are distributed across the network, creating efficient, accurate data sources for various industries.
  10. Blockchain Technology Alaya AI records each annotation task assignment, data transformation, and task completion on the blockchain, providing a transparent audit trail for every data point.
  11. Decentralized and Secure Data Alaya AI stores data on decentralized servers, protecting it through Ethereum-based blockchain transactions.
  12. Enhanced Privacy Alaya AI employs zero-knowledge encryption and follows privacy standards like GDPR, ensuring that users have full control over their data assets.
  13. Swarm Intelligence Based on Swarm Intelligence principles, Alaya AI accumulates decentralized contributions, forming a collective intelligence network to support advanced AI model development.
  14. Alaya Labs Alaya Labs focuses on research and development to improve AI decision-making capabilities across different industries.

How to Use Alaya AI

To get started with Alaya AI as a data contributor, follow these steps:

  1. Navigate to the Alaya AI website and click the “Home” button.
  2. The Alaya AI gamified platform begins to load.
  3. Select your blockchain (either Arbitration or Operation BNB), enter your email to get a verification code, paste it, and click the “Login/Sign Up” button.
  4. The main window of Alaya AI appears.
  5. Switch to the “Tasks” tab, then click “Start” to perform AI NFT training tasks.
  6. Answer 1 to 5 questions related to the task and click “Next.”
  7. After answering all the questions, click “Submit.”
  8. Switch back to the main window, click the “Report Progress” icon to view submitted tasks.
  9. Check the information, including verification rate and wings, then click “OK.”
  10. To get gifts, click the “Gift” icon and complete the required tasks.
  11. To complete other tasks, click the “Tasks” icon, select the desired task from the list, and submit it.
  12. To change the active group, click the cursor move key.
  13. From the top menu, click any icon to open your wallet.
  14. View your current status of wings, AGT, and BNB currency.
  15. Switch to the “Bundle” tab to bind your wallet with Alaya AI.
  16. Click the “Market” icon to visit the NFT marketplace.
  17. View all rare items that can be exchanged using your current wallet currency.
  18. To refer Alaya AI to friends, click the “Referral Program” icon, copy the invitation code, and share it.
  19. To change account management settings, contact us, or adjust general personal settings, click the highlighted icon and adjust the options as needed.


As of May 2024, Alaya AI’s pricing details for AI model developers are not publicly available on its website. Interested individuals or businesses should contact the team directly for a quote.

For data contributors or providers, you can use its free web app or Android app. However, to access advanced features, you’ll need to upgrade to a paid plan by contacting the team.

Alaya AI is a Web3 AI data platform that uses a cost-effective, gamified approach to collect and label data for AI model developers. It also allows data providers to monetize their contributions through NFTs and other incentives.

However, Alaya AI heavily relies on user participation, which can impact data volume. As a relatively new platform, its long-term stability remains to be seen.

If you are an AI model developer in need of high-quality data or a data provider looking to participate in AI development, Alaya AI is worth considering! But be mindful of its potential drawbacks, as data accuracy may depend on user input.

Overall, I give Alaya AI an 8/10 for its innovative approach and potential in AI development.

I hope this Alaya AI review helps you decide whether to use the platform. Have you tried it? Let me know in the comments below!

Leave a Reply

Your email address will not be published. Required fields are marked *