The startup develops an artificial intelligence platform that analyzes large volumes of sequenced genomic data to identify genetic patterns and decode genomic structures linked to specific traits. This technology enables researchers to gain insights into genetic influences, enhancing the understanding of complex genomic relationships.
Funding
$300K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing improved microorganism strains for biotechnology applications is a complex process, often limited by the ability to decipher the genetic signatures of desired traits. Traditional DNA marker discovery approaches face challenges, particularly in unexplored regions of the genome, hindering the identification of genetic factors influencing quantitative phenotypic traits.
Solution
DeepTrait offers an artificial intelligence platform that analyzes whole-genome sequencing data to identify genetic patterns associated with specific traits in microorganisms. The platform leverages an unbiased, holistic approach to mine homogenous data, overcoming limitations of conventional DNA marker discovery. By deciphering the genetic signature of quantitative phenotypic traits, DeepTrait enables researchers to develop superstrain microorganisms with improved biosafety, productivity, and resistance. The AI-driven insights facilitate the optimization of microorganisms for various biotechnology applications.
Target Audience
The primary target audience includes biotechnology companies and research institutions focused on developing and optimizing microorganism strains for various industrial and research applications.
Features
- AI-powered analysis of whole-genome sequencing data
- Identification of genetic signatures linked to specific traits
- Prediction of improved biosafety characteristics (e.g., reduced allergens, antibiotic resistance, virulence factors)
- Prediction of improved productivity traits (e.g., increased protein, metabolite, nucleic acid production, and growth rate)
- Prediction of improved resistance traits (e.g., osmotic pressure, oxidative stress, heat, and biofilm formation)