Now in Pilot — Limited Access

Talk to your
single-cell data
like a colleague

Upload your .h5ad file and ask questions in plain English. Nvwa runs UMAP, clustering, differential expression, and more — instantly.

Trusted by researchers at

Northwestern University

Everything a bioinformatician does, in seconds

No scripting required. Nvwa understands biology and translates your intent into reproducible Scanpy workflows.

Natural Language Interface

Ask questions in plain English. "Show UMAP by cluster", "Find markers for cluster 3", "Compare CD4 T cells vs CD8 T cells" — all understood instantly.

Complete Analysis Pipeline

QC filtering, normalization, PCA, UMAP, Leiden/Louvain clustering, and differential expression — the full Scanpy workflow, automated.

Rich Visualizations

UMAP plots, violin plots, dot plots, heatmaps, volcano plots, feature plots — publication-quality figures generated on demand.

Differential Expression

Three analysis modes: all clusters, single cluster vs rest, or pairwise comparison. Export full marker tables with a single request.

Marker Gene Discovery

Identify top marker genes per cluster, generate dot plots and heatmaps, and export complete ranked gene tables — all through conversation.

Supports Standard Formats

Upload any .h5ad AnnData file. Compatible with 10x Genomics, Smart-seq, and all standard scRNA-seq pipelines.

From upload to insight in three steps

No installation. No code. No waiting for your bioinformatics team.

  1. Upload your dataset

    Drag and drop your .h5ad file. Nvwa reads your AnnData object, detects existing processing steps, and is ready immediately.

  2. Ask your question

    Type your question naturally. "Preprocess and cluster", "What are the markers for cluster 5?", "Show violin plots for CD3E and CD19".

  3. Explore and export

    Receive publication-ready figures and downloadable tables instantly. Iterate with follow-up questions, no waiting, no re-running scripts.

Ready to talk to your data?

Join the pilot and be the first to experience conversational single-cell analysis.

Request Early Access