
CellCodex is generating, curating, and analyzing high-quality cell perturbation data at scale to empower advanced AI models in biology and medicine. Their mission is to address the lack of GPT-level training sets in cellular biology by providing clean, well-annotated, and AI-ready datasets. They offer solutions including cell engineering for scalable production of customized human cell models, genetic screens (CRISPR) for target discovery in human complex models, and large-scale genetic perturbation datasets for training next-generation AI models. CellCodex combines genetic data, CRISPR edits, iPSC-derived cells, in vitro models, environmental exposures, and single-cell readouts to create multimodal datasets. The company's business model is centered around providing these data generation and analysis services to partners in the drug discovery and AI-driven biology sectors. Key team members include co-founders Dr. Emmanouil Metzakopian (CEO) and Dr. Grant Belgard (CTO), and Dr. Tom Weaver (Chairman).

CellCodex is generating, curating, and analyzing high-quality cell perturbation data at scale to empower advanced AI models in biology and medicine. Their mission is to address the lack of GPT-level training sets in cellular biology by providing clean, well-annotated, and AI-ready datasets. They offer solutions including cell engineering for scalable production of customized human cell models, genetic screens (CRISPR) for target discovery in human complex models, and large-scale genetic perturbation datasets for training next-generation AI models. CellCodex combines genetic data, CRISPR edits, iPSC-derived cells, in vitro models, environmental exposures, and single-cell readouts to create multimodal datasets. The company's business model is centered around providing these data generation and analysis services to partners in the drug discovery and AI-driven biology sectors. Key team members include co-founders Dr. Emmanouil Metzakopian (CEO) and Dr. Grant Belgard (CTO), and Dr. Tom Weaver (Chairman).