BLOCKStrain Technology (TSX.V: DNAX) has developed a blockchain platform that can be trusted to provide both safety and reliability. An article discussing the company reads: “The BLOCKStrain platform aims to provide the integrity that the current system so sorely lacks. It goes further by ensuring product authenticity and IP protection, with a genetics verification process. Producers and marketers can take advantage of this novel methodology by submitting the lab results of tested samples to BLOCKStrain. Each time an item is tested and verified by the network, a registration affidavit is auto-generated and given a unique “BLOCKStrain Address,” along with a traceable QR Code. Producers, patients and consumers are able to not only verify the test but rate the product, write reviews and share opinions. These details are stored within BLOCKStrain and, like the test results, cannot be tampered with or modified. Both verification and certification are earned by all parties for their participation. Moreover, pre-existing data of genetic cannabis strains can be submitted to the BLOCKStrain verification administrators, and those results will be added to the user’s blockchain account.”
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About BLOCKStrain Technology Corp.
BLOCKStrain Technology Corp. has developed the first integrated blockchain platform that registers and tracks intellectual property for the cannabis industry. Strain protection and genetic identification are major issues for growers and breeders, and this new technology allows them to identify and secure rights to their valuable intellectual property (IP). The BLOCKStrain platform also streamlines the administrative process of genetic and mandatory quality control testing for legal cannabis, cutting the administrative time and expense in half. BLOCKStrain’s proprietary, immutable, cryptographically secure blockchain-technology establishes a global ‘single source of truth’ for cannabis strains, their ownership, potency and chemical makeup. For more information, visit the company’s website at www.BLOCKStrain.io.
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