I'm the CEO of the decentralised bio network where the anonymous first option for medical and bioinformatics data, our biomedical consortium is being registered in Singapore as cloud Genex Ltd. We received the IPFS bounty for identity and eat the very united nations sustainable goals bounty earlier this year, we are partnering with the kilt protocol and of course the optimist network, whom I'm thanking for the opportunity to be here.
Here's our big idea. We'd like to allow you to control and monetize your biomedical data anonymously and do this on a web3 permissionless platform.
For some people, the DNA might be the most valuable data, the most valuable asset that they have. Why not own it. Currently, companies owned a set of data. Companies such as 23andme, NASA ancestry.org governments and biomedical apps on your KYC and medical data more and more as centralised entities get more and more control and read more risk.
Singapore's electronic medical records for example got hacked in 2018, and even their Prime Minister's data was taken. At the same time computer assisted drug design turns this data into large sums of money, an expected total of $18 billion by 2025, which does not flow back to the genetic data owners to you. The key here is that 47% of genetic testing, consumers are very concerned about their privacy and the platform that addresses this concern which addresses these would turn challenges into opportunities and win big.
We are trying to democratise direct to consumer genetics and biomedical testing. We would like to empower labs of all sizes, not just the bigger labs but also the smaller ones to directly access consumers through our digital platform.
We would like to provide anonymous first at home, biomedical testing. And finally, we would like to create a data marketplace, based on privacy computing.
Here's how we do it. We allow users to send in bio medical samples, without KYC through a distributed application on the left, the Dapp provides instructions for DIY something, usually a simple ****** swab swabbing the inside of your cheeks 10 times. This sample is sent within a sample bottle, and an envelope with an anonymous specimen number, like a Swiss bank account, and there are no names here.
The labs receive the sample does what work, analysis, and sensitive data reports to encrypted ipfs storage that can only be decrypted by the user. Here's the key we offset the expensive costs of the testing by allowing users to stick their data into a privacy preserving data marketplace, which aggregates the data and sells it, users get our Debio tokens in return.
Token model
So they pay with stable coin and get Debio in return. The data marketplace, only sells aggregated beta, Gene EMR metadata tokens, as the ERC 20. The proceeds of the data sales is used by a permissionless, smart contracts to buy back the tokens. They always have flowing value back validators. And the ecosystem.
Privacy computing
So even though the platform is permissionless, from the user side, you can be sure that the labs have the skills and licences. As you see, the users of Debio never need to put in KYC, but we also take it one step further with our privacy computing model. The data is simply aggregated on our end for connecting it to a computed data proxy, buyers in the data marketplace, buy ERC 20 data tokens related to the data aggregation, academics that have bought these data tokens and wish to execute operations from this set of data can propose algorithms to our consortium to be run by our privacy compute nodes, run as a kubernetes cluster. This provides algorithm results while having no direct access to the data.