DeepBrain Chain Next Generation AI Digital Asset Exchange Review And DBC Token Analysis

DeepToken is the world’s first digital asset exchange dedicated to AI industry with an innovative ‘Voting is Mining’ mechanism. It aims to discover quality tokens in the AI industry. DPT is a token issued by DeepToken Exchange, it is the basis for organizing the platform’s ecosystem building and community autonomy.

About DeepBrain Chain

We believe that the core of an exchange is to discover quality digital asset and, in terms bring return on users’ investments. DeepToken propose the innovative ‘’Voting Mining’’ mechanism, AI experts and practitioners will screen projects to find outstanding digital assets from the AI industry. DeepToken has received strategic investment from DeepBrain Chain Foundation, its core members are also the founders of DeepBrain Chain Foundation, DeepToken Exchange is an important step in DeepBrain Chain’s strategy planning. DeepToken’s team has in-depth understanding of the AI industry, they are experts and specialists from the AI and blockchain industries. DeepBrain Chain is an AI computing platform powered by blockchain, it is a basic infrastructure of the AI industry. DeepBrain Chain Foundation has been planning to deploy projects that serve the entire life-cycle of AI projects, at the moment it has invested in two AI+blockchain projects: OneGame and EtainPower.

Product

DBC has a working platform released in April 2017. Currently there are more than 100 manufacturers and 200,000 users have connected to more than 500 models of smart devices, DBC claims in their whitepaper. DeepBrainChain is more focused towards medium to large scale models, but as the AI industry grows exponentionally, so does DBC’s appeal and relevance. There are several competing projects, namely Golem and Neuromation, but DBC is heavily backed by the NEO foundation, and has already established future listings in big exchanges (Kucoin for instance), after the ICO is done.

Whitepaper

At 34 pages long, DBC’s whitepaper is very thorough and comprehensive. It presents a techonlogical viewpoint of DBC’s system architecture and general infrastructure, as well as a business plan model. Despite being somewhat monotone in terms of readability, it is still very readable and easy to understand, even with a lot of technical jargon appearing here and there.

DeepBrain Chain ICO Overview

The artificial intelligence industry is set to take off. At the core of the industry are three essential elements that drive development forward: computing power, algorithms and data. As is often the case with technological innovation, scaling these elements to meet the pace of development requires radically lowering costs and increasing efficiency. The cost burden of scaling on small and medium size enterprises in the AI industry can be especially prohibitive toward product development. Machine learning and neural networks require large data sets on which to train; the more data, the more computing resources are needed. Such processes can take weeks or even months due to limits on data quality and processing power, which translate to higher costs for AI companies. Once a neural network is developed, large amounts of processing power are needed again to decode them. Add to these factors the difficulty of accessing high-quality data sets and a picture starts to emerge of how many barriers there are that keep the AI industry from blossoming. The DeepBrain Chain ICO application of blockchain to AI development holds great promise in overcoming those barriers and propelling the industry forward by leaps and bounds.

DeepBrain Chain ICO Value Proposition

The goal of DeepBrain Chain is to provide a more efficient and cost-effective way forward for AI development. Utilizing the blockchain to access computing power, DeepBrain Chain creates a decentralized ecosystem that incentivizes provision of processing power and data sets for a reward. Idle computing nodes can be deployed for use by developers to earn DeepBrain Coin (DBC) in return. The decentralized network drastically reduces costs for developers because there is no need to acquire more hardware to access larger amounts of computing power. It also dramatically increases the scalability of AI development through access to exponentially greater computing power via the blockchain, meeting another fundamental demand of the industry. Lower costs combined with higher processing capabilities will reduce the difficulty faced by many companies with AI use cases for implementing the technology, spurring development and adoption in turn.

Roadmap

DBC already garnered some attention after releasing their platform in August 2017, and after a few high profile investments. (https://www.yicaiglobal.com/news/ai-blockchain-project-deepbrain-secures-usd492-million-its-first-financing-round NEED TO BE ADDED AS LINK) Their vision is optimistic yet feasible, considering the planned rise of NEO’s platform along with the entire AI industry in upcoming years. They are highly dependent on NEO, naturally, and if NEO tanks, so does DBC. Their current position is good – their ICO is reaching its final stretch and as said numerous times, their platform is up and running.

DeepBrain Chain ICO Team

CEO Feng He made his foray into the AI industry in 2012, taking charge of developing China’s first voice assistant Smart 360, with tens of millions of users. Since then he has successfully launched another voice assistant product and more recently led the DeepBrain platform.

Chang Shu is an expert in AI development, with an extensive background in big data analysis and computational linguistics. He’s held research positions at the University of Nottingham and National Institute of Informatics in Japan and serves as the CTO for the project.

Chuangfeng Lee also began his experience in the AI industry leading the marketing team for Smart 360, growing the user base to 17 million. He serves as CMO at DeepBrain Chain.

On the blockchain development side, the situation is a bit murkier. From the whitepaper, it’s unclear if Senior Engineer, Lingbing Wang, has any prior blockchain experience under his belt. Jason Yi’s profile references the Bytom chain but his level of involvement is also murky. With the level of DeepBrain Chain’s complexity, it would be more assuring to have a lead development team that’s has stronger traction with blockchain.

DeepBrain Chain ICO Strengths and Opportunities

We think the utility of DBC is a strong point of the project. The token rewards the use of any available processing power, making more efficient use of existing infrastructure on the decentralized network instead of adding more machines at the individual enterprise level. The ability to reduce the overall cost of AI development also lowers the barrier for companies with a use case to integrate the technology, adding further value to the token utility. Within the ecosystem, there is both incentive to mine, reward and accumulate the token. In our view, these are all promising factor that indicate excellent token utility.

Currently, more than 100 corporate clients and 200,000 users are already using the DeepChain platform, including Microsoft, Siemens and Samsung. Building on their current product, the DeepBrain Chain will integrate existing data sets and indigenous AI skill applications into the ecosystem. With a solid user base and successful product already in place, the groundwork has been laid for continuous scaling. Growth projections of the AI industry show in 2018 alone the potential is enormous. The timing for such a product is right on the money.

The strong fundamentals of the DeepBrain Chain ICO have attracted investment from large VC players Gobi Partners and GSR Ventures. The NEO Council has also invested in the project and is actively promoting it as another pioneer of the Smart Economy. The community support for the project is palpable, with lots of buzz on social media and a decent following.

DeepBrain Chain ICO Weaknesses and Threats

The DeepBrain Chain ICO is not alone in their mission to fuse blockchain and AI. SingularityNET is set to dish out some healthy competition, with Chief Humanoid, Sophia Hanson, drawing her fair share of attention. While the projects offer different core value propositions, they are competing as platforms for the trade and exchange of AI data sets, services, algorithms and applications.

The development team lacks the blockchain experience we’d like to see for tackling all of the potential challenges presented by such a complex and innovative project. The lack of a testnet adds more uncertainty to this effect with no indicators to gauge technical progress thus far. External support for blockchain development would warrant more confidence in the eventual on-chain product, which at the time of the ICO still remains speculative. Still, we think with a proven business case, the long-term gains far outweigh the short-term challenges of moving the project on-chain.

The team’s communication with prospective investors in the days leading right up to the DeepBrain Chain ICO has been suboptimal. No team members are available to answer questions in the Telegram group, and confusion over how to participate in the token sale is rampant. Admins of the group simply offer a shared Google doc that mirrors the website exactly in response to questions. Without a voice from the team to address the community directly on fundamentals, the confusion only serves to stifle an otherwise fantastic project. Below is a screenshot from the Telegram group illustrating this point:

The Verdict on the DeepBrain Chain ICO

The project concept is outstanding for the potential it holds to transform the AI industry and a solid foundation is already in place for that concept to materialize. DeepBrain Chain has already demonstrated their ability to excel in the current AI market, which is on the verge of massive expansion. Yet, for all the strengths we see in the project, we’ve deducted points for the team’s weak communication and investor confusion around the ICO. As for our final call, we’ll be making a medium size bet on the DeepBrain Chain ICO.

You may also like...