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Founded in 2016, our mission is to bring state-of-the-art machine learning and visualization techniques into the world of biology research.

Featured publications related to our research and products

AI-driven Deep Visual Proteomics defines cell identity and heterogeneity
Mund et al., Nature Biotechnology (2022)

Neuropilin-1 is a host factor for SARS-CoV-2 infection
Daly et al., Science (2020)

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer
Hollandi et al., Cell Systems (2020)

CIDRE: an illumination-correction method for optical microscopy
Smith et al., Nature Methods (2015)