Geshem Genomics
Using Computational Genomics to Breed New Varieties
Company Overview
Snapshot
Founded in March 2014 by Maital Ashkenazi, Geshem Genomics operates with 1–10 employees. The company is currently in a Pre-Funding stage.
Business overview
Geshem Genomics develops a computational platform to analyze plant genomic data, identifying traits crucial for agricultural breeding. Its core technology enables breeders to evaluate new plant varieties, specifically fruits and vegetables, based on genomic data from early development stages, thereby reducing the time and cost associated with traditional breeding trials. The company also offers a cloud application for managing, analyzing, and sharing plant genomic data, integrating scientific literature with genomic insights to identify specific traits. Geshem Genomics operates within the Agriculture & Food Technologies sector, focusing on Ag Tech, Genetics & Input, and serving the agriculture and food industries, particularly crop breeders.
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- Who founded Geshem Genomics and when?
- Geshem Genomics was founded in March 2014 by Maital Ashkenazi.
- What is the primary focus of Geshem Genomics' technology?
- Geshem Genomics focuses on using a computational platform to evaluate plant genomic data, identifying traits with agronomic importance to assist in breeding new varieties.
- What problem does Geshem Genomics' technology solve for breeders?
- The company's technology allows breeders to identify desired trait combinations in new plant varieties much earlier by analyzing genomic data from leaves, significantly reducing the time and cost associated with traditional breeding trials.
- What kind of application does Geshem Genomics offer?
- Geshem Genomics offers a cloud application for managing, analyzing, and sharing plant genomic data, which combines data from breeders with scientific literature to identify traits.
- In which sector does Geshem Genomics primarily operate?
- Geshem Genomics operates primarily in the Agriculture & Food Technologies sector, with a focus on Ag Tech, Genetics & Input.