Re:Pair Genomics uses a machine learning algorithm to design compact synthetic DNA sequences, known as promoters, to target specific cell types. These DNA sequences can be incorporated into gene therapy products, especially viral gene therapies with a packaging size restriction. Promoters normally require scientists to spend six months to a year to design multiple candidates and screen them. With our algorithm, we can generate a reliable candidate within a day! We provide clients with customized promoters to advance their research, avoiding toxic adverse effects arising from off-targeting of the drug.