Quadrant Protocol aims to overcome the problem of data gathering and authentication for AI. It is crucial for small and medium enterprises that buy such information and fake data is detrimental. Therefore, the demand here is met. Competitors here are IOTA, Ocean Protocol, Streamr, Synapse that will release their product till the beginning of 2019. Quadrant Protocol roadmap not significantly lags behind the competitors. Its model is obviously different but does not have significant edge on competitors. Quadrant market entry strategy is normal and fits market trends but there are no details regarding the competitors. Quadrant ecosystem includes 5 agents. Nurseries provide raw data, they are IoT sensors as an example. Pioneers turn raw data into databases. Elons combine all data and provide final data product. Guardians are master nodes and keep blockchain working. In the end are data consumers – Quadrant Protocol clients. Data origin is saved in blockchain and data itself is marked so a consumer may be sure that data have not been changed. Revenue from data purchasing is divided for all value chain participants. Mainnet launch is going to be in May 2018, smart contract in October 2018 and monetization system with nodes is to be launched in 2Q 2019. The product is under the testing now and it is impossible to track its development and ICO smart-contract development as well.

 Blockchain saves data origin and smart contracts distribute revenue automatically. Transactions are nominated in QUAD that is also a reward for nodes. eQuad issued on ERC-20 standard will be exchanged to QUAD of the own blockchain. Consensus algorithm is Proof of Authority aiming to increase transaction proceeding. Some portion of QUADs will be taken to guarantee valid data from Elons. ICO has rational grounds. Hardcap is set as 20M USD with softcap of 3M USD. It is a bit overestimated but considering 40% to tokensale total token pool capitalization turns 50M USD that is not so much in comparison to competitors. Other 60% is distributed as follows – 10% for team, 10% for partners, 20% for reserves, 20% for operational expenditures. Costs are structured and the team provides details and grounds for all the elements. Direct revenue streams are not announced but such projects usually are interested in token price increase. 

Quadrant Protocol is a product of DataStreamX – company trading data since 2014 with technologies applied in Quadrant. The team include 7 members working in DataStreamX as well. CEO has worked 3 years in Samsung in marketing and strategy departments and 5 years in management positions in IT companies of Canada and Asia. Director of Engineering has relevant experience since 2008 with 4 years in managing IT teams. Other technical specialists have been in DataStreamX since 2015 or 2016 with 2 years of previous experience. CMO only has marketing experience in DataStreamX.

● Quadrant Protocol is a blockchain-based protocol that enables the access, creation, and distribution of data products and services with authenticity and provenance at its core. 
● The project was borne out of our past experiences in the data economy and a working business in DataStreamX (DSX). DSX (datastreamx.com) has operated its data marketplace and data brokerage business since 2015. Its mission is to unleash the power of the data from the world by facilitating the transacting of data between buyers and sellers on its platform. The Quadrant Protocol aims to continue this mission.
● Quadrant has assembled an outstanding group of commercial partners and allies over the past several months, including Bluzelle and Kenetic, all of whom we are confident will add long-term value to Quadrant. 
● Additionally, last month (May 21st), we signed a 2-year partnership with Singapore’s Info-communications Media Development Authority (IMDA) to implement a commercial AI and Microservice layer on DataStreamX, powered by Quadrant Protocol. This initiative aims to promote ground-breaking innovation around the use of data to solve global problems within a sustainable and regulated framework. 

Market Competitive environment:
The International Data Corporation (IDC) put the value of global big data and business analytics revenue at USD 200 billion by 2020
Ocean Protocol - during ICO $22,1 M is raised, token is not traded on the exchanges
Streamr - $27 M is raised, capitalization is $71.1 M, ROI USD - 1.71x
Synapse - no data on financial indicators of the project

The project advantages:
AI and IOTA is the opportunity it provides Elons to innovate using a diverse array of mapped data sources. Pioneers are intended to create data products based on data provided by Nurseries. Elons can then take those products, find linkages and then create mega Constellations that can be used by companies to effect real change in the world, all while being fairly remunerated.

SOCIAL ACTIVITY
The project popularity in the social networks and discussion forums
Telegram: 16,4k members, user activity is high
Twitter: 4,3k readers, average number of likes on one tweet is 495, average number of retweets per post is 95
Medium: 841 followers, post commenting activity is low

The project has the following strengths which are worth noting:

• Availability of testnet (MVP).

• Participating in a significant and fast-growing market (the blockchain industry).

• Highly skilled and vastly experienced founder.

• Ambitious idea.

• The economic potential of the token is notable.

However, there are also a number of risks still associated with this ICO project:

• The team has quite ambitious plans but the length of time between the different stages and milestones could be a possible issue. The length of time between MVP release (which is a significant stage of the project) and other stages is very short. The application, adoption and beta-testing/performance improvement of a product for enterprise use all require significant time and effort from the team.
• Unverifiable ICO details on the date of analysis. The smart contract code on GitHub was unavailable for public review and important ICO information (vesting periods, token distribution timelines, bonuses, token burning) could not be verified.
• Incomprehensive whitepaper. The whitepaper does not include competitor analysis (although there are no direct competitors discovered), forecasts of marketing activities or plans for product promotion.
• Team composition risks. The team has ambitious plans in terms of product complexity. But apart from the founder, the other team members might not have enough experience, as they are all relatively young and most of their job experience comes from working with this founder on another project.