Website: www.cpchain.io

ICO Price: 1ETH — 10000 Tokens (0.0001ETH)

Key Takeaways

Multi-Party Transactions

Data Analytics / Anonymous — user privacy focused / pseudonymised data sharing

AI for decision-making support

Secure and Scalable — horizontal connectivity architecture,

Trustless — transparency, user control over own data (share what you want to)

Cost of Data — share what you want, a p2p distributed trading system almost

Quick Summary

They’re essentially disrupting by moving away from the typical IoT architecture of a star-network, with one type of device speaking to a central server. To do this they’re going to make a single unified platform that collates all devices in a mesh style, sharing between each other across the blockchain. This will allow both the vendor and suppliers of data to collaborate better, and /potentially/ monetize their own data (potential CPC token use/acquisition). All while surfacing it through a pseudonymization layer to ensure privacy and security…

This layer serves both to improve the ability of vendors/suppliers to service their customers and industry, and also to protect the individual right to privacy, while still providing useful statistics.

This is achieved through tokenization and management of the anonymized user data over the CPChain.

Adaptability of this chain is key — by providing a wrapped function around another chain — they provide the framework and infrastructure to deliver these analytics and connectivity to any industry

Real potential as a turn-key solution for turbocharging the data storage and efficiency of any IoT product existing or future.

Notes

One important thing to factor in is that IoT isn’t millions of Transactions per Second (TPS)… its billions of TPS, consider the following as a formula:

people globally x owned devices (Fridge, phone, tablet, car, sensors, thermometers, light bulbs) x industries (home, hospitals, automotive, pharma, retail) = potential device market

Highlights

Scalable

Secure

Real-Time

IoT Parallel Distribution — think Collaborative Mesh rather than Standard Silo Mesh.

Storage and Sharing — cloud distributed and on Blockchain

Data Validation — Hybrid Consensus Protocol

Side Chain Consensus System — ?? Sounds like they’re going to be an adaptor or confirmation provider — cross-chain abilities supported and optimized through QTUM, HPB and VEN partnerships

Implementation

End to end solution design — data acquisition, storage, sharing and use.

Data Aggregation — Real Time / Increasing sales value of the data by availing it to a wider audience

Lowering the Chain overhead by encrypting and offloading the data anonymously to distributed Cloud (probably another Block chain / cloud based)

Source: CPChain White paper v2.1 Eng

It seems that the blockchain implementation of CPChain will maintain a lightweight IoT device friendly index to the burdensome user-data element, keeping their block size (in bytes/mb) relatively small in comparison to the standard whole-chain approach, and additional potentially reducing the transaction cost for the CPChain by only needing to write the index value once on addition/removal of the IoT device from their network.

Prototype / MVP

This is to be initially developed on Ethereum to speed up development timeline.

Architecture

The parallel distribution allows the Industry Chain below — to be a pluggable layer specific to client needs,

Imagine LG want to put their IoT fridges onto CPC

They would sit as a wrapped chain via cross-chain adaptors within that Industry Chain layer. This is reiterated by their two chain consensus protocol adoption.

Source: CPChain White paper v2.1 Eng

So in essence they could handle the data aggregation/reporting/analytics of any blockchain using IoT- plug any other Industry chain in the middle, turn the key and go. Powerful and elegant if done well.

Transaction speed

By separating the data layer out — it lights that payload and increases the Transactions per Second, very necessary in an IoT setting where you could have potentially billions of devices submitting data.

Big data potential

conceptually — think along the lines of the Google Analytics of blockchains

One potential issue I hadn’t seen addressed is in that billions of devices scenario — if delays of writing the encrypted user data up are outpaced or out of sync with the chain data globally — this i discovered further into the white paper How? The answer is via their hybrid consensus model — possibly an adaption of a masternode voting concept.

Source: CPChain White paper v2.1 Eng

The first layer is the devices and individual nodes

The second layer — would be your masternodes / elected to vote and provide credibility

Node Credibility / Voting

Further backing up this masternode theorem, is their proposal of a credibility model, much like the VeChain maturity model it appears. In an adapted version the First layer is rewarded for spotting the mistakes of the Second, and vice versa. (Potential passive earning?)

Privacy/Data Security

Two stage client side encryption/ re-encryption. This is key in their distributed storage layer, the User encrypts their data on their IoT device (fridge/phone/car) the password goes to the CPChain, the data to the distributed cloud. Data Permission controlled by the user on submission — much like sharing a document, you set the view rights, and that is all stored in the chain to ensure conformance.

Further protected by splitting the hash table — so that no one node has full permission to provision incorrect access.

There seems to be a stop-gap around this encryption/re-use in principle — they should probably invest more time in adopting that pseudonymization function — much like in healthcare — remove the identifiable — and leave only the analytical readable without encryption.

Gateway / Processing services

The team at CPC have been evaluating offloading and optimization around IoT for a number of years,

See — http://ieeexplore.ieee.org/document/4497796/ as reference, where the two co-founders Chengnian Long, and Bin Zhao, wrote a paper over 10 years ago addressing optimization in IoT.

And appear to be looking to embed some of the processing at the most basic level, the network protocol layer

think of when DSL was created, you could use your phone AND have internet at the simultaneously

Similar idea here — and “more efficient, faster and safer”

Use Cases / Applications

The whitepaper highlights the standard IoT applications but here’s a bit of a drill down to what they could be applied to:

Auxiliary driving/route optimization — Self Driving Cars,

Insurance — By knowing your routes, reduced or increased premiums

Logistic tracing — improved delivery tracking/costing

Digital Assets — tracking your property, resale,

Supply Chain finance — ???

Medical — anonymized research data provision and availability to universities not just big pharma/institutes (increasing the decentralization and innovation)

Big Data — Imagine you have all this data on tap, you know how many times someone opens their refrigerator, the temperature of their home, their preferred driving routes.

Now imagine you can send that person goods that will expire quicker or last longer, you could increase the price of gas on their route home, or as a wholesale purchaser, you could monitor the traffic conditions knowing that you need to double the supply to an area because they always have shortfalls during a certain month, or hour. This predictive or proactive optimization of pricing and supply management is the dream state of true big data analytics, now as an investor, think what capacity and value that service has, on a scale where everyone should be using your service, this is what CPChain is developing.

Examples

Take the following scenario: — (made up) Antigua provides 99% of America’s coconuts… Hurricane whatever just destroyed all the coconuts.. Next time we see hurricane headed there, we preemptively order a backup supply from wherever… to mitigate the potential loss that cost us XXX million last time

Outputs and Roadmap

Looking at their roadmap with a framework completed by June 2018, I see no barriers to completion of this, a V1 of their platform by October 2018 also very achievable based on the research they’ve already completed over the past 10 years and backing CPChain have been provided.

The big tech teams behind them (VeChain, HPB, QTUM, Metaverse) if anything will potentially shorten that timeline, knowing the collaborative and complimentary natures they all provide and could consume from each other.

My thoughts

When Moon

Probably after Framework completion, and another after first industry player announced.

When Lambo

Launch of analytics services and API functionality to go with it.

My Speculation

Wait for the masternodes — hodl and let it rain..

* Disclaimer *** This is not financial advice, please do not invest more than you can afford to lose.