Publication-grade bulk and single-cell RNA sequencing datasets — curated, normalized, and validated so your research starts with certainty, not cleanup.
Our first product line tackles the biggest bottleneck in transcriptomics — noisy, inconsistent datasets that waste months of analysis time.
Population-level gene expression profiling with deep coverage across tissues and conditions. Every dataset undergoes rigorous multi-step QC, batch correction, and cross-platform harmonization.
Cell-level resolution transcriptomics with standardized annotations, doublet removal, and ambient RNA correction. Pre-computed UMAP embeddings and cell-type labels included.
Cross-study harmonized cell atlases spanning disease states, developmental stages, and tissue types. Built for meta-analysis and reference mapping out of the box.
Need something specific? We run tailored analysis pipelines on your raw data — from FASTQ to publication figures — using our validated processing stack.
Raw sequencing data is ingested from public repositories and partner labs, with automated format and integrity validation.
Multi-layer quality control: adapter trimming, alignment QC, doublet detection, ambient RNA correction, and outlier removal.
Standardized normalization, batch correction, and automated cell-type annotation with manual expert review.
Data delivered in standard formats (h5ad, loom, CSV) via API or bulk download with full provenance documentation.
Every feature designed around one goal: eliminating the months of data wrangling between you and your next discovery.
Full processing lineage from raw FASTQ to final matrix. Know exactly what was done to every cell and every gene.
RESTful API with Python & R SDKs. Query by tissue, disease, cell type, or gene set. Integrates with your existing stack.
Containerized pipelines with locked dependency versions. Re-run any analysis and get identical results, every time.
Ontology-mapped metadata following CELLxGENE and HCA schemas. No more one-off column names and missing fields.
All datasets batch-corrected and harmonized. Merge any two datasets from our catalog without additional processing.
HIPAA-aware processing for clinical samples. Consent tracking and de-identification baked into the pipeline.
Join our early access program and get priority access to the most reliable omics data platform on the market.