SAAT2020 | Scoring crops with Agricultural Artificial intelligence Technologies

Summary
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 a society, we need to move towards smarter data-driven crop production systems that are able to better utilize soil, time, and resources. Modern-day plant breeding uses only a fraction of the available information about 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 (SaaS) technology platform xSeedScore® provides bioinformatics solutions, powered by artificial intelligence algorithms. We work with clients worldwide to solve their most complex crop-related challenges. With over 100 projects, € 1.1m in revenue (2018), and a client retention rate of 80%, our goal is to have our data analysis pipelines used globally. Our solution, xSeedScore, helps medium-sized family-owned seed companies, and large agricultural companies alike to accelerate their breeding program by reducing the time and area necessary for breeding crops by 50%-67% and doubling the predictive value of current statistical methods. Our 2022 revenues are projected at € 5.5m. This growth is fueled by our vision of a more equitable, healthy, and sustainable food system in which EU agriculture can stay globally competitive while still upholding its values on crop protection and genetic regulation. Our team is unique in its combination of innovation and expertise, bringing together bioinformatics, plant genetics, machine learning in biology, and artificial intelligence. Computomics is ready to scale its breeding performance prediction services and expand it across multiple markets. With the right understanding of potential partners and market conditions, access to Phase I funding will give us the ability to reach large clients.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/887865
Start date: 01-12-2019
End date: 31-05-2020
Total budget - Public funding: 71 429,00 Euro - 50 000,00 Euro
Cordis data

Original description

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 a society, we need to move towards smarter data-driven crop production systems that are able to better utilize soil, time, and resources. Modern-day plant breeding uses only a fraction of the available information about 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 (SaaS) technology platform xSeedScore® provides bioinformatics solutions, powered by artificial intelligence algorithms. We work with clients worldwide to solve their most complex crop-related challenges. With over 100 projects, € 1.1m in revenue (2018), and a client retention rate of 80%, our goal is to have our data analysis pipelines used globally. Our solution, xSeedScore, helps medium-sized family-owned seed companies, and large agricultural companies alike to accelerate their breeding program by reducing the time and area necessary for breeding crops by 50%-67% and doubling the predictive value of current statistical methods. Our 2022 revenues are projected at € 5.5m. This growth is fueled by our vision of a more equitable, healthy, and sustainable food system in which EU agriculture can stay globally competitive while still upholding its values on crop protection and genetic regulation. Our team is unique in its combination of innovation and expertise, bringing together bioinformatics, plant genetics, machine learning in biology, and artificial intelligence. Computomics is ready to scale its breeding performance prediction services and expand it across multiple markets. With the right understanding of potential partners and market conditions, access to Phase I funding will give us the ability to reach large clients.

Status

CLOSED

Call topic

EIC-SMEInst-2018-2020

Update Date

27-10-2022
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Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.1. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
H2020-EU.2.1.0. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Cross-cutting calls
H2020-EIC-SMEInst-2018-2020
H2020-SMEInst-2018-2020-1
H2020-EU.2.3. INDUSTRIAL LEADERSHIP - Innovation In SMEs
H2020-EU.2.3.0. INDUSTRIAL LEADERSHIP - Innovation In SMEs - Cross-cutting calls
H2020-EIC-SMEInst-2018-2020
H2020-SMEInst-2018-2020-1
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.0. Cross-cutting call topics
H2020-EIC-SMEInst-2018-2020
H2020-SMEInst-2018-2020-1