📌 Website: https://www.nebula-ai.com/
📌 Telegram: https://t.me/NebulaAICommunity
📌 Project hardcap: 30.000 ETH ($15.600.000)
📌 Lock-up: No lock-up
📌 Token distribution: Scheduled for April (ERC-20 token, swap to mainnet in Sep 2018)
📌 Crowdsale price: 100.000 NBAI / ETH
✅ What is Nebula AI ?
📌 Idea 8.5/10:
Nebula AI is a decentralized blockchain 3.0, integrated with artificial intelligence computing services. It can significantly reduce the traditional electricity usage on mining, by converting GPU mining machines into AI computing units. It allows anyone access AI computing resources from anywhere to anyplace in the world.
Nebula AI will utilize the decentralization of blockchain technology to rent and distribute the computing power of artificial intelligence machines globally. Blockchain encryption technology efficiently avoids the problem of internal leakage and the maintenance of distributed AI calculation units is handed over to the owners of various AI calculation units, which considerably reduces the workload of maintenance.
Subgoals:
- Shared AI Computing Platform - will address the unbalanced demand between consumers and suppliers of AI devices.
- AI Physical Computing Units - a large number of GPU computing mining machines can be converted into AI computing units, from simple hash calculation into more meaningful AI task calculation
- Decentralized AI Applications - requires a corresponding interface for DAI App programmers to invoke conveniently and use the platform’s computing power. It includes the payment API, computing capacity estimation API and work estimation API, etc., in order to speed up the development of AI applications.
- Integrated IPFS Distributed Storage - IPFS storage system to replace the traditional centralized cloud storage or local file storage, in order to achieve better distributed storage.
- AI Engineer Training Center - a systematic artificial intelligence training center to provide practical knowledge in the field of artificial intelligence.
📌 Team & advisors 5.5/10:
CEO Charles Cao: PHD in Electrical & Computer Engineering. Strong dev experience and strong leadership. Has worked 11 months on full-time contract at IBM aswell.
CTO Qinhui Lin: Good leadership, nothing bad to say here.
AI Architect Tengke Xiong: Has PHD in Computer Science. Has a lot of experience in AI development (11 years combined).
They have a few other developers in their team, but they have little experience in the developing field of AI which is a risk in my view.
📌 Token metrics 8.0/10: 30.000 ETH is low for a new blockchain 3.0 with current ETH prices ($520 as of right now). 45% token sale, 15% team & advisors, 10% early contributors, 5% marketing, 25% to Nebula foundation. (https://tokensale.nebula-ai.network/#token-distribution)
📌 Roadmap 7.0/10: Testnet is already live. Mainnet to be released at September 2018 together with introducing the first DAI APP.
(https://tokensale.nebula-ai.network/#roadmap)
📌 Utility of the token: The purpose of the token is to purchase computing power. The tokens will be used in the following three cases:
Developers Test: Developers will consume tokens for model training. The training time required to train a model will be reduce depending on how many tokens are paid.
Use of DAI APPs: Decentralized AI APPs may be set as paid apps by developers; users must pay tokens to use these AI services, such as trend prediction of cryptocurrencies.
Purchase of DAI training services: When users utilize training services to obtain finger models, they are required to pay for retraining the models.
📌 Partners & investors: They have some big investors like Consensus Capital, Fenshui Capital and some other VC’s. They have no all star partners and mostly have partnership with universities or small companies. Mostly partnering with universities does make sense though since AI research is not easy and expensive.
📌 Strengths & opportunities: They have a strong CEO and leadership. They also have a testnet already and their roadmap is decent. The token has a clear use case. If the demand raises, the token should appreciate in value.
📌 Weaknesses & theats: Very weak marketing, they only have 5% for marketing. Quoted from their admin in Telegram: “Unlike many projects, Nebula AI doesn’t want spent millions of dollars to invite speculators to join telegram community, but instead foundations is actively working with many universities and research institutions to collaborate on many aspects of artificial intelligence projects. Foundation will provided them with NBAI tokens to develop Dai app on NBAI AI chain. We project to see great adoption of our technology and grow NBAI community of researches and developers.” Blockchains based on AI is also still relatively new and there seems to be a lot of competition in the AI space in crypto.
📌 Competitors: SingularityNET ($88mln mcap) , Matrix AI ($20mln mcap).
🔖 Disclaimer
We cannot be held liable for any losses and you cannot take legal action against us.You have done your own research and due diligence and decided to invest by yourself.You realize investing in ICO's is a risky investment and there's a possibility of losing everything. When an ICO gets listed on the exchange there’s no guarantee that it will give you a positive ROI.
Sources used:
ICO Market Data. (n.d.). Nebula AI. Consulted on March 25th, 2018 from
NebulaAI AI (March, 2018). Decentralized AI blockchain whitepaper. Consulted on March 25th, 2018 from
https://www.nebula-ai.com/