CellCodex provides a platform that generates AI‑grade cellular perturbation data at scale through automated cell engineering, scalable bioprocessing, and high‑throughput genetic screening across diverse organisms. The service delivers reproducible, high‑resolution datasets with end‑to‑end quality control, ready for downstream AI and computational analysis, enabling biotech, pharma, and research organizations to accelerate target discovery and model development without building in‑house screening infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers and drug developers often lack access to large, high‑quality cellular perturbation datasets that are required for robust target discovery and for training AI models in biology. Existing screening workflows are limited in scale, reproducibility, and data consistency, hindering rapid hypothesis generation and validation.
Solution
CellCodex offers a platform that generates AI‑grade cellular perturbation data at scale. The service combines automated cell engineering, scalable bioprocessing, and high‑throughput genetic screening to produce reproducible, high‑resolution datasets across multiple cell types, including iPSCs, yeast, plants, and bacteria. Data are processed through standardized pipelines that ensure uniform quality metrics and are delivered in formats ready for downstream AI and computational analysis. By handling both the experimental execution and data curation, CellCodex enables customers to accelerate target discovery and model development without building in‑house large‑scale screening infrastructure.
Target Audience
Primary customers are biotech and pharmaceutical companies, as well as academic and contract research organizations, that require large‑scale, high‑quality perturbation data for target discovery, functional genomics, and AI‑driven biological modeling.
Features
- Automated cell engineering workflows that support CRISPR, RNAi, and overexpression perturbations across diverse organisms
- Scalable bioprocessing pipelines capable of producing millions of perturbed cells per run with consistent batch‑to‑batch quality
- High‑throughput genetic screening platforms delivering quantitative readouts suitable for machine‑learning model training
- End‑to‑end data processing pipeline that applies rigorous quality control, normalization, and annotation to generate AI‑ready datasets
- Flexible data delivery options, including raw sequencing files, processed matrices, and API access for integration with custom analytics pipelines
- Support for custom screen design and target validation consulting to align experiments with specific research objectives