Taking advantage of the gap, let me mention why I emphasized that everyone must secure the IDO qualification for Sahara AI (@SaharaLabsAI).
- Some perspectives suggest that even if they are involved, they are obtaining tokens at a valuation of 600 million. In a stage where altcoins are not worth much, is there still profit in this valuation?
"This is actually an obvious money-making opportunity!"
1. What exactly is Sahara doing?
- Sahara is a decentralized AI data platform. Users upload data to earn income, developers use data to train AI, node operators run nodes, and companies obtain customized AI solutions.
- It is about monetizing data and facilitating AI development, where <users, developers, and enterprises all have something to gain.
- Previously, users had no way to protect their personal data rights; often, their data was exploited by those platforms. On the Sahara platform, data is clearly priced, and if it is used, users can receive appropriate earnings. All parties with needs can find what they need on a single platform.
The logic holds.
2. What are Sahara's core products?
It is actually developed specifically around the above pain points.
1. AI asset rights confirmation protocol (addressing user pain points)
Utilizing zero-knowledge proofs + digital watermark technology ensures that user data can be traced and verified when used. For example, when photographers upload images to train AI drawing models, every time the model is called, an NFT certificate containing their watermark is automatically generated, and the earnings are automatically distributed to the user's wallet. This mechanism has been compliant with the Monetary Authority of Singapore.
2. Sahara Knowledge Agent (KA, addressing developer pain points)
Sahara Knowledge Agent (KA) is a revolutionary tool for developers, enabling the creation of enterprise-level AI entities through a no-code development framework and a modular AI component library, allowing users to drag and drop to create. Previously, it took half a year to train AI, but now even novices can get started, with low cost and high efficiency.
3. Sahara Data (addressing enterprise user pain points)
Sahara Data is a data service dedicated to providing high-quality training data for AI models. For instance, if a company wants to create an AI that can identify dog breeds but lacks data, they can post a task on Sahara Data. Any user can label the data, such as identifying what breed this image is or that image is. The platform uses this data to train models, and the company receives a finished AI product, allowing everyone to get what they need.
3. The financing background of Sahara 🐡
- Sahara raised 49 million dollars in two rounds of financing.
The backgrounds of the parties involved in the financing are particularly strong, including investments from Polychain, YZi Labs, Pantera, and VC firms like Samsung. What these big names represent is self-evident; it can be basically confirmed that issuing tokens will allow access to Binance's spot market without going through Alpha's testing. A valuation of 600 million is just a baseline price.
- AI + Web3 is booming, but the POS AI Layer1 is still a barren land. $Near leans towards protocols, Vana leans towards data, and Bittensor is the leader in POW AI Layer1.
- Sahara targets POS AI Layer1, with Web2 clients (such as Microsoft and Amazon level needs) and a narrative led by Web3. A valuation of 1 billion is not difficult.
📒 In summary, I believe this is more suitable for medium to large investments, bringing certain profit opportunities.
There are still a few days left; we should make a push; there are still opportunities.
In the next article, I will write about the possibility of getting white papers. Note that this requires KYC from other countries and can only be done through self-sourced channels.