Genotic


Genotic is a pioneering company at the intersection of AI and antibody design, dedicated to transforming life science research through computational innovation. Their mission is to accelerate biologics discovery, design custom antibodies, and develop therapeutic solutions ethically and efficiently, leveraging advanced AI algorithms, high-performance computing, and integrated laboratory processes. They focus on rapid, reliable, and high-quality antibody development, aiming to shorten development timelines and enable personalized medicine.

Industries

artificial-intelligence
biotechnology
clinical-trials

Nr. of Employees

small (1-50)

Genotic

Warsaw, Mazowieckie, Poland, Europe


Products

AI-designed monoclonal antibodies (research-grade)

Monoclonal antibodies designed computationally for specific protein targets and validated for common applications (immunofluorescence, immunohistochemistry, flow cytometry, ELISA); typically supplied lyophilized with documentation packages.

Recombinant proteins

Recombinant human, bacterial and other proteins produced in E. coli or mammalian expression systems, supplied lyophilized and characterized for research use.

Enzymes (research-grade)

Isolated and recombinant enzymes characterized for activity and purity, offered with analytical purity metrics and suitable for diagnostic and research applications.

Assay kits (enzyme activity)

Colorimetric and spectrometric activity assay kits for enzymes (e.g., LDH, GAPDH, urease) designed for laboratory use in quantifying enzymatic activity.


Services

Custom AI-designed antibodies from 3D structures

Design, produce and validate monoclonal antibodies based on a submitted target 3D structure (.pdb), using computational design, in-house expression and multi-step QC to deliver validated research reagents.

Expertise Areas

  • Antibody engineering and design
  • Computational protein design and optimization
  • High-throughput recombinant expression and purification
  • Analytical characterization of proteins and antibodies
  • Show More (3)

Key Technologies

  • Deep learning for protein and antibody design
  • Graph-based neural networks for structural reasoning
  • Large-scale protein structure prediction models
  • High-performance GPU clusters with low-latency interconnect
  • Show More (5)

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