CyberVein, a project focusing on data, is founded by the Singapore CV Technology Foundation. CyberVein’s big-data solution is based on the PISR (private, interlink, secure, robust) distributed database, database operations are stored on CyberVein blockchain network which runs on a Proof-of-Contribution (PoC) consensus mechanism. The solution is focusing on enterprise-level “blockchain + big-data” customized services.
The four core products of data management, storage, analytics and monetization are focusing on three major problems in this information age: information silo, data security, and data monetization. It perfectly links upstream and midstream of data-flow, aggregates and enables cross-domain governance of upstream data, and encapsulates data abstraction into services, providing business value to applications, thereby creating an enterprise-level data flow platform based on blockchain.
Many would categorize CyberVein as a public chain project from CV technology foundation, however, a more accurate translation would be “big-data solution” project. CyberVein’s solution consists Database, data storage, GPU, and distributed machine learning (Federated Learning), so instead of being a provider of a single service, CyberVein’s big-data solution take cares of big-data needs from the bottom to the top.
CyberVein’s potential partners are categorized into two groups, “clients” and “solution partners”. With the complexity and variety in standards and contents, CyberVein aims to gather more “solution partners” to join in an alliance, whereas one crypto project may specialize in distributed storage (not only provide current Redis based PISR database), another might shed some light on distributed GPU resources, thus giving “clients” more options to choose to fit per their business goal.
Currently, CyberVein is discussing potential partners with Filecoin, Golem, Dfinity, Sonm, Sia, Storj as “solution partners” in DAVE alliance, and OPPO, E&Y as “clients” for IoT data analysis.
We have concluded engineering our PISR database, which provides following services:
- A blockchain acts as a time machine that stores database states and actions.
- Also supports business to create their own side chain and token on CyberVein to development their database consortium, and realize their business objectives.
- Account management that allows parties in a database consortium to grant or deny entries.
- SDK, API and solidity smart contract for application development.
- PoC consensus (PBFT optimized).
- Distributed data management environment for federated learning.
- Customizable blockchian browser for further business development.
Coming in Q2 2022: CyberVein mainnet, which enables operational logs of PISR database recorded on chain, building a trustless data sharing environment.
In the long run, CyberVein aims for 20+ solution providers to join DAVE alliance, integrating their solutions into a full circle of big-data ecosystem, and giving other blockchain projects a larger audience.
Rapid growth
With the establishment of CyberVein global operation centre in Shanghai, CyberVein made impressive progress with the expansion of DAVE alliance with IoTeX, Xiaomi, AXA HK. The community has also shown great interest in CyberVein’s CROSS NFT issuance platform, as a part of DAVE alliance’s big-data solution. Many machine learning researchers, blockchain enthusiasts, and investors have reached out to CV technology foundation inquiring the alliance and establishing their own solution with NFT on CROSS.
Comparison with other products
The first-generation blockchain technology has deficiencies in multiple levels such as performance, function, security, privacy, and supervision. Other blockchain applications after Ethereum mostly focus on performance improvements such as distribution, throughput and security, ignoring the breakthroughs and balance required for real business applications.
We see that as a misguided vision, as I have mentioned time to time, very much like federated learning, blockchain is not a complete solution, but rather a change in workflow. The advancement in blockchain technology does not lie in itself, it’s like trying to solve a linear equation with only one given variable. I see blockchain only thrive with mass adoption in IoT, 5G, and better computing power. Therefore, rather than focusing on performance improvements, we broke free into a different dimension, into data, where databases meets ledgers, distributed nature meets federated learning, DAG meets data rather than transactions. In that, we thank IOTA (DAG), Ethereum (breaking into a different dimension), Byteball (sacrificing decentralisation), and Google (Federated learning).
Data monetization
Data, different from any other tangible asset, is extremely difficult to valuate and trade. There are challenges in privacy, immutability, ownership, integrity, accuracy, divisibility and many more, despite distributed ledger may tackle some of them, the problem with valuation is more fundamental — the value of data depend on when, where, who and how they use it.
CyberVein’s solution towards this monumental challenge is simple, creating a semi-trustless alliance gathering big-data related entities — crypto or non-crypto — to accumulate our own goods and services into a full-circle, whereas one crypto project may specialize in distributed storage, another might shed some light on big-data. All business joining the alliance are required to install CyberVein’s PISR database to ensure their actions on data are recorded on chain, make their meta-data public, and pay a premium to gain access to view all meta-data in the alliance.
By creating an open-library of meta-data within the alliance, without compromising data-ownership and privacy, alliance members could perform analytics and modeling through federated learning.
Medical institutions integrate patient visit record through federated learning platform and build an integrated electronic medical record centered on patients, so that medical staff can easily access patient visit information. Research, processing and analysis capabilities are provided by CyberVein distributed database to analyze and monitor the overall operation of medical institutions. Federated learning also combines clinical decision support systems to integrate multiple dimensions of clinical data to provide doctors and patients with refined and personalized treatment guidance. For medical institutions, the value of big data provided by Federated Learning lies in the ability to improve the management level, service efficiency and clinical diagnosis and treatment of medical institutions.
Greatest accomplishment and future
CyberVein’s greatest accomplishment by far is the initiation of D.A.V.E alliance, The inspiration behind this alliance is world famous Uber and Spotify alliance. Uber’s partnership with Spotify lets Uber riders easily stream their Spotify music library whenever they take a ride. This helps the Uber experience feel more personalized, and encourages Uber customers to subscribe to Spotify Premium (for more control of their tunes both inside and outside the Uber).
Uber’s competitors don’t have a similar personalized music experience, so this gives them a leg up over Lyft and other similar services. And since not all Uber riders have Spotify, and not all Spotify users ride with Uber, both brands gain access to new, broad audiences.
Same applies to many big-data solution companies, not all are as well-rounded and omnipotent as AWS. However, a well defined and developed alliance could change everything, companies and projects interconnect like strands in a muscle, straining for the most powerful punch. Users could install PISR database by cybervein to ensure data security, use IPFS to store their data, borrow some GPU resources from Golem if they were to perform AI modeling. This is an unprecedented step forward in the blockchain industry.
So with the initiation of DAVE alliance, this is a big year for CyberVein, as well as the rest of blockchain community.
Partners we are looking for
To make data monetization more tangible for all, CyberVein’s DAVE alliance profit model is fairly simple, it is estimated that nearly 200 tradable data products can be traded every year, 40PB of data will be aggregated, and the profit will reach 8 million US dollars. The alliance will distribute 20% of the annual profit to the alliance members.
Founding members: 6 members. CyberVein Foundation directors
The first batch of members: 5 members. Participation and contribution in the four major solutions of DAVE is required.
The second batch of members: 7 members. When the phase 2 of members join, fees are required.
Third batch of members: 10 members. When the phase 3 of members join, fees are required.
Voting mechanism
The initial voting group will be composed of 6 CyberVein Foundation directors, who vote for the first members of the DAVE Alliance. The number of voting groups will increase as new members join. (For example, when recruiting members for the second round, the voting committee will have 11 members, and so on.)
