By 2050, our planet will be home to more than ten billion people, resulting in an estimated 50% increase in the amount of food, feed, and biofuel required. This year, farmers around the world will produce 30 million tons less grain than required to feed everyone. As the world population grows, the demand for agriculture is increasing. This puts pressure on farmers, growers, agricultural companies and food producers to supply more, and to supply faster. The pressure is aggravated by the global effects of a changing climate on food production worldwide.
Modern-day plant breeding uses only a fraction of the available information about plant genetics and the environment to select new crops. Computomics is a bioinformatics company founded in 2012 that tackles these challenges. Our software-as-a-service technology platform xSeedScore® provides bioinformatics solutions, powered by artificial intelligence algorithms. Our solution, xSeedScore, helps medium-sized family-owned seed companies and food and beverage companies to accelerate their breeding program up to 5 times, to reduce the area necessary for breeding crops by up to 67%, and to double the predictive accuracy of current statistical methods.
The main objective of this project was to obtain an in-depth understanding of the market, its conditions, potential partners and define a go-to-market strategy for marketing and sales.
Computomics is ready to scale its breeding performance prediction services and expand it across multiple markets. Our goal is to scale xSeedScore to an easy-to-distribute and widely-used technology, which can be sold independently of other Computomics services.
