Curie Bio offers a cloud‑based platform that centralizes genomic, proteomic, and phenotypic datasets with enforced metadata standards, secure encrypted storage, and role‑based access controls. The service includes built‑in analytics pipelines for quality control, differential expression, and pathway enrichment, as well as collaborative workspaces that enable real‑time annotation, versioning, and audit trails for research teams.
Funding
Funding not disclosed
Founders
Product
Problem
Life‑science researchers often struggle with fragmented storage of genomic, proteomic, and phenotypic data, leading to inconsistent metadata, limited reproducibility, and slow collaboration across teams.
Solution
Curie Bio provides a cloud‑based platform that centralizes biological research datasets and enforces standardized metadata schemas. The service offers secure, scalable storage and built‑in analytics pipelines that automate data curation, quality control, and basic statistical analyses. Integrated collaboration tools let multiple users access, annotate, and share datasets in real time while maintaining audit trails and permission controls. By unifying data management and analysis in a single environment, Curie Bio reduces manual data handling, accelerates hypothesis testing, and supports reproducible research workflows.
Target Audience
Primary users are research scientists, bioinformaticians, and data managers in academic labs, biotech companies, and pharmaceutical R&D groups who need a shared, secure environment for multi‑omics data.
Features
- Unified repository for genomic, proteomic, and phenotypic data with automatic schema validation
- Role‑based access control and encrypted storage to meet data‑security and compliance requirements
- Built‑in analytics modules for QC, differential expression, and pathway enrichment that run directly on the platform
- Collaborative workspaces with versioned annotations, commenting, and change logs for team‑wide data stewardship
- API and SDK support for programmatic data ingestion and integration with external bioinformatics tools