ALINK Offerings

Stage 1 End In

Purchase 2,000 ALINK tokens or more
get an 8% top-up

Purchase 4,000 ALINK tokens or more
get a 10% top-up

Purchase 20,000 ALINK tokens or more
get a 12% top-up

Purchase 40,000 ALINK tokens or more
get a 15% top-up


Artificial General Intelligence (AGI) aims to develop machines capable of exhibiting human-level intelligence in a wide range of tasks, rather than being specialised in just one. Unlike narrow AI, AGI will be able to understand or learn any intellectual task that a human being can, in principle, perform. The development of AGI is a challenging problem, and it is still an area of active research and development. The eventual achievement of AGI could have profound implications for humanity, and it is the subject of both scientific inquiry and science fiction.

ALINK empowers a blockchain-based open and decentralised marketplace for AGI services, allowing anyone with an internet connection to request and provide services that are germane to AGI. Such services can offer predictions or model building in a wide range of areas including speech, text, image, video, time-series, and network analysis. They can range from a simple application of a widely used algorithm to a comprehensive solution for an industry issue or a standalone AI program. Additionally, developers can launch self-governing AI programs that can interact with other services on the network.



Training-as-a-service refers to a cloud-based offering where individuals can train their own artificial intelligence models without having to invest in the infrastructure and resources required for on-premise training. The service provider offers access to powerful hardware and algorithms that allow customers to train and fine-tune their AI models. This can save afore-mentioned individuals time and money, as they do not need to set up their own computing resources or hire in-house experts to train the models. AI training-as-a-service can be used for a variety of applications, including image and speech recognition, natural language processing, and predictive analytics. The provider is responsible for maintaining and updating the hardware and software used for training, and customers pay only for the resources they consume.

Data Marketplace

Quintessential to any AI model is quality training datasets, as no matter how intricate the learning pipeline is, it has to be conducted on the input training dataset. ALINK provides a data marketplace where data can be bought, sold, and traded. The marketplace acts as an intermediary between data providers and data consumers, allowing them to find each other and transact in a secure and efficient manner. Data consumers can purchase access to the data they need to support their decision-making, research, or analytics efforts. Data providers can monetize their data by selling it to organisations that need it, or by licensing it for specific uses. ALINK’s data marketplace has strict security and privacy policies in place to ensure that the data is handled appropriately, thereby satisfying the growing demand for data, especially in industries such as finance, healthcare, and marketing.

Model Publishers

The open decentralised AI marketplace provides an opportunity for AI service providers to showcase their expertise and reach a wider audience, thereby increasing their chances of obtaining more customers globally. With this platform, developers can not only monetize their AI services but also take advantage of the numerous benefits offered to AI publishers. The advanced AI app capabilities, AI usage analytics, and team management & coordination features make it easier for AI publishers to manage their services and ensure their success. Furthermore, the financial management tools provided by the platform allow AI publishers to keep track of their earnings and expenses. The extensive beta testing tools provide a valuable opportunity for AI publishers to test and refine their services before making them available to the public, increasing the chances of success in the marketplace.

ALINK Tokenomics

BEP-20 Contract Address Audit


31,368,000 ALINK


31,368,000 ALINK




Solidity Finance

Planned listing

MEXC exchange

Targeted listing price


Let's meet with our team members

Bradley Hays


Bradley Hays has a strong background in both technology and business, having earned a Bachelor's degree in Computer Science and a Master's degree in Business Administration from the Massachusetts Institute of Technology (MIT). Before starting ALINK, Bradley gained valuable experience in the tech industry through his previous work as a software engineer at Google and as a product manager at Amazon.

Joseph Guzman


Joseph Guzman is a visionary entrepreneur with a strong background in computer science and engineering. He graduated with honours in Computer Science from Stanford. His previous experience includes senior positions at some of the top tech companies in Silicon Valley, such as Apple, and Tesla, giving him a deep understanding of the potential of AI and its real-world applications.

Anthony Watner


Anthony Watner has a unique blend of technical and business skills, with over 10 years of experience in the tech industry. He holds a Bachelor's degree in Information Systems from the University of California, Berkeley and an MBA from Harvard Business School. Prior to founding ALINK with Joseph and Bradley, he held senior positions in business development and strategy at top tech companies such as Oracle and IBM.

David Lee

Head of Engineer

David Lee is a seasoned engineer with tremendous experience in the field of artificial intelligence and machine learning. He holds a degree in Computer Science from Carnegie Mellon University, where he specialised in neural networks and deep learning. During his time at CMU, David was a research assistant and contributed to a number of projects. He also had an internship at Google and had some experience with LaMDA.

Ronald Wilson

Head of Marketing

Ronald is a seasoned marketing professional with over a decade of experience in the tech industry. He holds a Bachelor's degree in Marketing and a Master's degree in Business Administration from the University of Pennsylvania. In his previous positions, Ronald was responsible for creating and executing successful marketing campaigns, and developing brand strategies.

Jonathan Miller

Research Scientist

Dr. Jonathan Miller is an expert in the field of artificial intelligence and machine learning, with years of experience in academia and industry. He holds a PhD in Computer Science which specialised in reinforcement learning and robotics. At ALINK, Dr. Jonathan leads a team of AI researchers and is responsible for developing new AI services.


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