Mindsync project has the potential to capture 15% of this market within five (5) years of operation, which will represent an annual turnover of US$2.77 billion. Such turnover will translate into a massive increase in the demand for the Mindsync (MAI) token which will be the sole medium of transaction on the platform. No MindsyncAI tokens will be mined (created) after the Token Generation Event (TGE) and therefore no dilution effect/risk. Given the non-minced nature of the coin, increase in the demand for the platform’s service, even if modest, will lead to material increases in the market value of the MAI token.
Mindsync is an all-in-one place to perform machine learning and data science tasks.
Key advantages of Mindsync is:
• Tokenization and smart-contracts guarantee the fulfillment of obligations by participants.
• Multi-GPU Deep Learning Machine at the lowest price on the market (up to 30x cheaper than
• Scalability and Uberisation. Unlike competitors, the resources required to fulfill customer
orders are taken from the platform community. Mindsync can easily increase production
capacity by increasing the platform community by attracting specialists in competitions and
new interesting and complex tasks in the AI domain.
• Marketplace for ready-made AI solutions. Ready-made machine learning models and data sets
can be sold or rented.
• Platform experts and clients can create competitions with any reward independently without
participation of Mindsync staff.
• Data verification and integrity: All the data verified, hashed and stored in blockchain and IPFS
• API : Mindsync AIaaS (AI as a Service) platform allows to run production-ready solutions on
itself and make requests to it using RESTful API without deploying it on external servers, i.e. on
the customer side. This makes possible to create lightweight and scalable applications using AI
technology with theoretically unlimited computing power for any device.
• Mining and resource sharing. Miners or any Mindsync platform member who owns computing
resources can provide them to other members for a fee.
• Cheap AutoML