Celer is an AI‑powered platform that automates the entire multi‑omics workflow, from automatically fetching raw datasets from public repositories such as GEO, PRIDE, and Metabolomics Workbench to converting them into a universal, analysis‑ready format. Its agentic AI runs standardized, explainable pipelines for proteomics, transcriptomics and metabolomics, delivering results in minutes and allowing researchers to focus on hypothesis generation rather than data wrangling.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers must manually locate, download, and preprocess multiomics datasets from disparate public repositories, a time‑consuming process that often requires specialized scripting and expertise. Inconsistent data formats and fragmented analysis pipelines further delay the transition from raw data to biological insight.
Solution
Celer offers an AI‑driven platform that automates the end‑to‑end workflow for multiomics research. The system automatically retrieves datasets from major repositories such as GEO, PRIDE, and Metabolomics Workbench, then converts them into a standardized, analysis‑ready format compatible with common omics tools. Built‑in agentic AI executes explainable analysis pipelines for proteomics, transcriptomics, and metabolomics, delivering results in minutes rather than days. By unifying data acquisition, preparation, and interpretation, Celer enables scientists to focus on hypothesis generation and discovery.
Target Audience
Primary users are academic and industry researchers, bioinformatics teams, and laboratory scientists who conduct multiomics studies and need rapid, reproducible data analysis.
Features
- Auto‑fetch of omics datasets from all major public repositories and user uploads
- Universal data formatting engine that normalizes diverse file types for downstream tools
- Agentic AI modules that run standardized, explainable analyses for proteomics, transcriptomics, and metabolomics
- One‑click pipeline execution that transforms raw data into actionable results within minutes
- Cloud‑based platform with scalable compute resources to handle large multiomics projects