Computomics


Computomics is a pioneering AI-driven bioinformatics company founded in 2012 as a spin-off from Max Planck Institute for Biology and the University of Tübingen. With over 190 successful projects across 18 countries, it specializes in machine learning methods to analyze complex genomic data for applications in agriculture, biotech, microbiome, and metabolomics research. The company offers comprehensive consulting, analysis, and reporting services, supporting clients from experiment design to system integration, with a strong emphasis on data security in Germany. Computomics aims to enable sustainable agriculture and plant breeding through innovative AI solutions, including climate-smart breeding and foundation models, to accelerate genetic gain, improve crop resilience, and address global food security challenges.

Industries

biotechnology

Nr. of Employees

small (1-50)

Computomics


Products

Genome variation visualization software

Interactive software to inspect large-scale variation between complete genomes at chromosome and nucleotide resolution, display genome metadata and compare gene annotations across multiple genomes.

AI-based breeding decision-support platform

Platform that integrates genomic, environmental and phenotypic data using machine learning to support breeding decisions and predict variety performance under variable climates.


Services

Consulting and execution of DNA and RNA sequencing analysis projects including experimental design, sequencing strategy, data processing, analysis and delivery of reproducible reports.

Taxonomic profiling, gene and pathway annotation, and application-specific metagenomics analyses for agriculture, food safety, environmental monitoring and microbiome research.

Machine learning-based decision support to predict variety performance using integrated genomic, environmental and phenotypic data and to support breeding under current and future climate scenarios.

Development and application of pre-trained genomic foundation models, fine-tuning strategies for small proprietary datasets, and cross-species transfer learning for breeding tasks.

Services for pan-genome graph construction, whole-genome alignment strategies, metric development for graph evaluation, and visualization-ready outputs.

Expertise Areas

  • Plant breeding and genomic selection
  • Metagenomics and microbiome analysis
  • Bioinformatics and NGS data analysis
  • Genomic foundation models and deep learning
  • Show More (4)

Key Technologies

  • Next-generation sequencing (short- and long-read)
  • Metagenomic sequencing and functional annotation
  • Machine learning / deep learning for genomics
  • Genomic foundation models (pre-training and transfer learning)
  • Show More (4)

News & Updates

Computomics will be at the largest seed industry conference in Orlando, applying its machine learning technology ⨉SeedScore® to support breeders in developing new crop varieties in a changing environment.

Participate in the flagship annual meeting of the American Society for Microbiology, where Computomics will showcase its metagenomics data analysis solutions and present posters on plant growth-promoting traits and soil microbiome analysis.

Join Computomics at the AGBT Ag conference to explore AI-driven solutions for plant breeding, including the ⨉SeedScore® technology, and meet experts in the field.

Attend the Food System Microbiomes conference where Computomics will discuss its microbiome analysis solutions for food safety, microbe tracking, and pathogen detection.

Participate in the CropIB conference focusing on crop innovation, where Dr. Sebastian J. Schultheiss will present on precision breeding and agriculture.

Join the largest seed industry event in the US, where Computomics will showcase its Climate-Smart Breeding and ⨉SeedScore® technology.


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