Hadron ICO Review: An Enterprise Solution Leveraging the Capabilities of AI

The rise of the internet changed the world almost 3 decades ago.

From the way we shop to how we gather information, internet technology has touched upon every single aspect of our lives and has made it significantly better by not only connecting the world, but creating opportunities for the human race that were not available to them before.

Almost 30 years later, the same is being expected out of blockchain technology and artificial intelligence (AI), two inventions that have all the potential to revolutionize human life once again.

That is why, while blockchain projects had first been focusing on cryptocurrency, they are now slowly but certainly turning towards the usage of AI in the next level connectivity solution that happens to be blockchain.

The experts say that artificial intelligence is here to stay and it is simply just the beginning of the industry. The technology should permeate various areas of life from sectors such as virtual assistants to healthcare, facial recognition, to enterprise and media.

Projects that seek to tackle this technology and integrate it in a way that opens it up to the world will be able to create and capture significant value.

One such project that recently came to surface is Hadron, an enterprise solution that performs various tasks for its user by leveraging the capabilities of AI, all while securing, protecting and processing information AIh the power of blockchain.

Hadron ICO Review: The Market Opportunity

Simply put, Hadron would be able to automate tasks and processes for millions of users at once while also letting them contribute with their own human intelligence actions, so that it could keep learning about taking decisions right from the people for whom it has to make them.

While a whitepaper has not been made available yet, the Hadron project’s features – according to what is listed on the website – high-throughput for task execution, monetizing capabilities for users, and a highly-secure payment processing environment to supplement the tasks being performed on the platform.

The project is seeking to attack the enterprise task sector. The platform will connect those who want to computational abilities with those who will be able to provide these resources.

The main point of this service provider is simply to get your large enterprise tasks done in a quick and cost-effective manner. They aim to decrease artificial intelligence computing costs by 90% (in comparison to current cloud providers) through the use of decentralization.

Hadron looks like it has figured out the two-sided marketplace problem by providing compelling incentives for those who would like to be suppliers. Individuals can currently mine Hadron tokens, and to join beta mining, they simply have to follow a few steps.

According to the Hadron Telegram Channel, users have to first, post their device configuration and browsers at bitcointalk and then join their telegram. After they have completed these steps, users must then create a Dashboard account at Hadron.

Interested users will then receive an email and they will see that the mining button on their Dashboard has turned green, this green light indicates that they are mining.

The system isn’t that complex for participants who are looking to earn.

They don’t need to set up mining rigs or other additional machines, they can simply use their computers or their mobile device to run Hadron. Suppliers of computational resources can also find earning potential in other avenues on the platform, such as the marketplace.

If everything works out as the team at the Hadron project states, both sides (suppliers and demanders) will be appeased. The enterprises will receive their tasks completed as quickly and efficiently as possible and the suppliers of computational power will gain earnings.

Potential investors might want to take note that Hadron has several products that are currently in operation.

Hadron has already made its Beta AI mining module to go live where over 800 million images have gone through the contribution process of deep learning methods.

The other live product is their AI Moderator. According to their Telegram Admin, this product is still in development, there is no estimated time of arrival, and more information will be given to the public when they approach the General Release stage of their project.

Hadron could be going for those users of pre-existing enterprise platforms who are striving to find cloud solutions that could meet the everyday needs of their business without falling prey to unpredictable security and market changing environments. This gets to be of even more importance considering how Smyte, a user-safety centered platform, shelved its business minutes after its acquisition by Twitter, leaving thousands of its users stranded despite having contracts with them.

With a platform that remains decentralized, trustless and out of the control of a single entity, Hadron could provide a safety-net for those who believe in the power of blockchain and how a sustainable network built upon it could continue scaling for years to come.

The project has received commendation from NEO Global Capital, which is the investment division of the NEO Foundation. As part of the partnership, it is clear that Hadron will be receiving some form of investment from NEO Global Capital and might very well have its initial coin offering (ICO) and subsequent operations built upon the NEO platform.

Hadron ICO Review: Crowdsale

No information has been released about the crowdsale as of yet, but the Hadron team has a dedicated Telegram channel where these announcements are expected to be shared periodically.

Their token symbol will be HADRON.

Let’s talk about the use of the tokens and the value of the token themselves.

The tokens will be used by those who seek the computational resources, they will use Hadron tokens to make their purchases. The tokens will also have a function on their Workforce Chain while playing a transference role from blockchain to computation.

The tokens will play a role in the aspect of staking as well as their governance model. The platform will be utilizing a Delegated Proof of Stake Model, a model found in platforms like ARK, Bitshares, EOS, Lisk, Steemit, and more.

Hadron investors will look to see if there is a continuous a large demand for this specific platform, if they believe that demand and transactions will increase over time, then they might be inclined to participate in the crowdsale.

Hadron ICO Review: Team

The team behind Hadron consists of individuals who have worked with some of the biggest names in technology, with most of the team members coming on board from community network Fanpop, which boasts of 50 million users.

The team includes Darick Tong, a principal engineer at Google who was a part of team that developed Gmail; Cliff Szu, CEO and co-founder of Fanpop; and David Papandrew, another co-founder of Fanpop who holds 2 decades of experience in product management.

Other members of the team include Michael Chu, a Fanpop engineer who holds experience from Intel and is an alumni of UC Berkeley; Evan Szu, who graduated with dual degrees from Brown University and later completed his Ph.D. at Stanford; and Simon Ilra Wei, a virtual designer who has consulted companies such as Facebook, Pinterest, and Instagram in the past.

The project also has high level advisors such as the prior chief scientist at Tesla, the co-founder of Bee Token and others from prominent companies like Google, Mastercard and more.

Hadron ICO Review: Opinion

While it is too early to comment on the actual technicalities or value proposition of the Hadron platform, from what we can see, it has the potential to become a sought-after solution in the future.

With a team that seems proficient and a partnership that was formed by the popular NEO Global Capital, the project does earn initial credibility points.

Their team is compelling for a variety of reasons, chief among them is the experience that they bring to the table. They’ve not only worked with some of the premier technology firms in the world but they’ve also created products used by many for their employers and through their own companies as well.

They have hands-on experience and have proven that they have both technical expertise plus the communication chops to be heard and draw users to their previous projects.

The opportunity that they are seeking to bring about is one that is certainly in demand. The technology that they are tapping into (AI) is one that is slowly gaining ground.

At the current moment, they also have part of their platform that is live, this is an astounding feat in an industry that is mostly white papers and Initial Coin Offerings with little actual development.

Additionally, it seems like the platform is again bringing in the effective communication strategies and correct alignment of incentives to raise interest in their platform, this is evidenced by the growing interest of the supply side, the activity on telegram and social media.

But who are their competitors and what are their weaknesses?

Hadron ICO Review: Competition

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The question now is, which of these platforms will be able to provide the best solution to the marketplace? Which one will be the one to eat a lion’s share of the market and why?

First, let’s look at the competitors.

SingularityNET (AGI) – This is a competitor that has certainly generated quite a bit of hype in the media, magazines from Wired to Forbes and others have covered this project extensively and their ICO was sold out in 66 seconds.

The project aims to create a decentralized AI marketplace which lets anyone anywhere monetize AI, enabling all sorts of parties from companies to organizations and developers to purchase and sell AI on a large scale.

They’ve created the system to where it will be able to handle large and small tasks as well.

The team does have a compelling track record as they’ve created Sophia the Robot, a robot who’s recently received the first Saudi Citizenship for a robot.

Have they made progress? Yes.

The team has released their Alpha Network and it is ready to be tested. They state that they have a team in place to seed the network with an initial set of services and they are on they seem to be fully invested in the research functionalities of AI as well.

The fact that they have a platform that can be used and is attacking multiple aspects to cement growth makes them a prime contender.

In addition to these other aspects they are also working with other projects in the space like Deep Brain Chain and hiring key talent to truly build out an open source system.

This partnership with Deep Brain Chain highlights another interesting point in this industry, most people compare Deep Brain Chain and SingularityNet to each other, as if they are both solving the same problems and are competitors, but (according to the teams) the reality is different. The devil is in the details and one will be able to understand the differences after more progress is made (the end of 2018 should provide some more insight).

Threat Level – Medium

Deep Brain Chain (DBC) – Deep Brain Chain calls itself the world’s first AI computing platform, this project will also facilitate a marketplace where companies can use DBC to purchase AI services on the Deep Brain Chain blockchain based platform. The platform consists of the AI computing power trading, AI data transaction, AI algorithm trading, AI models, AI containers trading and AI apps trading platform.

The decentralized neural network is supposed to focus on two aspects, distribution and safety. The network will distribute AI computational demand to a plethora of nodes at a low cost to the requester and it will facilitate data trading transactions in a safe manner through the use of the blockchain.

Have they made progress? Yes.

The team has released a component of their system, and has run their deep brain neural linguistic programming real AI trading model on their testnet. They’ve also run three real-world AI trading models on their testnet as well.

Partnerships with SingularityNET and other ties aspects like DeepBrain Cloud Platform (their answer to Alexa) will be a significant value add for the project.

They are running a Global Community Recruitment Program to bring on more key talent for their project.

They’ve started a SkyNet computing power program to reach more people who are interested in contributing computing resources to the Deep Brain Chain platform.

The project also seems to have a concentrated presence and community on Telegram and other social media programs signaling significant interest.

Threat Level – High

Cortex (CTXC) – This is an AI decentralized platform that is focused on providing “state of the art” machine learning models to the blockchain, users will be able to utilize this through smart contracts on the Cortex Blockchain.

Increasing the smartness of these smart contracts through the integration of AI.

They are also seeking to implement a machine-learning component focused on those who have tasks, it will also allow users to AI decentralized applications.

This platform does not seem to be an initial direct competitor of Hadron (at the present moment) but could be in the near future.

They are also adding key human capital to their team to push the project forward.

Have they made progress? Yes.

The team over at Cortex Labs have made progress as they have recently deployed a demo for “Silencer”, a program which was written through the programming language, python. This should be an interesting project as it could contribute to an enhancement in smart contracts with the addition of images, videos, and other files.

They seemed to be backed by prominent organizations such as Arrington XRP Capital, Bitmain, Huobi Capital, Nirvana Capital, Zhen Capital, and many more.

They are traded on exchanges ranging from Huobi to OKEX to a few others.

Threat Level – Low

Effect AI – This platform seems to be focusing on a specific component, the human aspect of AI, they also cater to businesses who are seeking to train data for machine learning. The team developed artificial intelligence products for enterprises in the past and saw the issue high costs in development.

The team got the idea for Effect. AI because of their heavy use of Amazon Mechanical Turk to gather data sets for their Artificial Intelligence algorithms. They then thought, wouldn’t it be easier and improve the process by eliminating the middleman? Couldn’t they decentralize it, reduce costs and open it up, making it a better experience for AI developers and the on-demand workforce?

They realized that they could and so they did, they created a decentralized Amazon Mechanical Turk and Effect.AI was started.

But they also realized that they had to solve problems for the long term, they realized that there had to be a marketplace for AI services (the Effect Smart Market) as this would make life easier for all sorts of AI developers, allowing them to trade, develop and reach potential consumers in a more effective manner. They added this second component to their vision.

Then the last aspect that they added to their vision was that of the need for decentralized computing power to be able to sustain training for machine learning and other AI processes.

These components look to be on par to what Hadron is offering.

Threat Level – High

Have they made progress? Yes

They are making the right partnerships in Asia to move the platform forward, they are working with entities like TrueBlocks, and Civic. Furthermore, they are attending tech conferences to gain visibility and more partnerships, as well as having a physical footprint in Asia by opening an office in Hong Kong.

They have also added a first requester to their platform. Lobster.Media will be the first requester to use Effect Force (their decentralized Amazon Mechanical Turk solution).

The team is also testing out their Effect Force Alpha version as well.

Their strategy looks like it is a great one, provide a service that is already in demand ( as evidenced by the significant use of Amazon’s Mechanical Turk system), while working toward the near future and accounting for other aspects of the artificial intelligence landscape.

From a competition standpoint, it seems that those who have the correct strategies to onboard both sides of the equation (suppliers and demanders) will be the ones to win. It will be interesting to see how these platforms will reach out to their respective demand bases (individuals and enterprises) and show them why they are the platform to choose.

Now that we’ve seen the competition, let’s take a look at the weaknesses of Hadron.

Hadron ICO Review: Weaknesses

The primary glaring issue is, of course, the lack of a whitepaper or a roadmap at the present moment. These documents which would allow interested individuals to be able to see the growth strategy and overall milestones to be met.

The blueprints would let individuals have a way to measure progress and have a general understanding of the direction of the project.

The second possible weakness that we may be seeing with Hadron is that of the project being potentially late to the game. The competition, as noted above, has already issued their tokens, and are running in the decentralized AI race.

It is only classified as a potential weakness because of the fact that Google came late to the search engine space and became the leading player because of its ease of use and technical improvements.

Hadron ICO Review: Conclusion

Hadron has several things going for it, a few working products, a compelling team who has executed on projects before, top-notch advisors from prominent companies like Tesla, Virgin, and others, and it is focused on a problem that matters today while working toward the future.

The AI space is still considerably young with much room to grow, there can be multiple competitors that can cater to the many increasing demands.

Hadron looks like it is doing a great job on the supply side (computational power and workforce growth), the question then lies on the merit of their technology (is it superior) and on their outreach efforts to bring in requesters.

Hadron can compete in this space in the long term if they are able to leverage their connections in their places of employment (Google) and advisory relationships (Tesla, Virgin) to sign up prominent clients and innovate faster and be better than their counterparts.

However, further opinions can only be formed once we get to hear more updates on the project’s actual execution, the team’s plans on scaling it, and the overall crowdsale itself.

Hadron Rating: 3.0 - Review by

1 Response

  1. The current ICO landscape is discouraging but Hadron is certainly a diamond in the rough. They may be up against the likes of Clarifai and Amazon, but their platform offers several competitive advantages. The cost of AI training will be 10x less expensive than competitors.

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