


Genomic Prediction Revenue
Biotechnology Research • 700 Grand Ave, Unit 1, United States • 21-50 Employees
Genomic Prediction revenue & valuation
| Annual revenue | $4,000,000 |
| Revenue per employee | $143,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Biotechnology Research industry and current estimated revenues | $12,800,000 |
| Total funding | $12,000,000 |
Key Contacts at Genomic Prediction
Kelly Ketterson
Chief Executive Officer
Lucy Laranjeiro
Senior Director Of Business Operations
Company overview
| Headquarters | 700 Grand Ave, Unit 1, Hackettstown, New Jersey 07840, US |
| Phone number | +19735294223 |
| Websites | |
| NAICS | 541714 |
| SIC | 738 |
| Keywords | IVF, Machine Learning, IVD, PGD, PGS, PGT, Polygenic Disease Risk, Preimplantation Genetic Testing, Genomic Prediction |
| Founded | 2017 |
| Employees | 21-50 |
| Socials |
Genomic Prediction Email Formats
Genomic Prediction uses 1 email format. The most common is {first name} (e.g., john@genomicprediction.com), used 100% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name} | john@genomicprediction.com | 100% |
About Genomic Prediction
Genomic Prediction provides advanced genomic tests which improve IVF health outcomes. Genomic Prediction Inc. (GP) was incorporated in Delaware, May 1, 2017. 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.
Employees by Management Level
Total employees: 21-50
Seniority
Employees
Employees by Department
Genomic Prediction has 13 employees across 6 departments.
Departments
Number of employees
Genomic Prediction Tech Stack
Discover the technologies and tools that power Genomic Prediction's digital infrastructure, from frameworks to analytics platforms.
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Miscellaneous
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UI frameworks
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Frequently asked questions
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