Genomic Prediction provides advanced genomic tests which improve IVF health outcomes. The research insights which led to the creation of GP stretch back much further. Research and data exchange agreements to develop molecular methodology, signed with some of the largest biotechnology vendors in the world, were ongoing as early as 2015. In the decade prior, the founders’ work in embryology, detection of chromosomal abnormality, computational genomics, algorithms, and polygenic architecture led to GP’s superior and innovative methodology for the genetic testing of human embryos. GP’s products incorporate fundamental improvements on existing methods. GP offers IVF parents a cost-effective means to evaluate genetic risk due to chromosomal abnormality (ploidy), single-gene mutations, and polygenic diseases. Accurate understanding of the genomic architecture of human disease requires larger training datasets, greater accuracy, and a more rigorous, empirical basis of computational modeling (machine learning) than implemented in the past with simpler technologies and simpler computational methods. GP represents the next step in embryo genetic testing, combining dense, genome-wide genotyping methods with sophisticated validation-focused modeling, suitable for the information age.