From scientific intent to reproducible analysis
Pipette plans methods, runs open-source tools on managed compute, recovers from failures, and preserves every decision, parameter, and output across your team.
Product overviewTrusted by researchers at
What Pipette actually runs
Conversation is the control surface. Underneath it, Pipette plans analyses, manages execution, preserves project state, and returns auditable outputs.
From raw data to analysis
- RNA-seq differential expression
- Single-cell RNA-seq clustering
- Variant calling and annotation
- GWAS and population genomics
- ChIP-seq, ATAC-seq, microbiome, and metagenomics
150+ bioinformatics tools, agent controlled
Examples include:
Results you can inspect and reuse
- Publication-ready figures
- Downloadable result tables
- Written analysis reports
- Software versions and parameters
- Full provenance and reproducible code
Your lab should not start over with every dataset
Give your team a shared analysis workspace where projects, datasets, workflow decisions, methods, and outputs remain connected across people and time.
- Shared workspaces keep active projects and results accessible to the team.
- Institutional knowledge retention preserves why methods and parameters were chosen—not only the final scripts.
- Organization-owned workflows can be added, reused, and standardized across projects.
- Operational capacity supports 50–100 GB inputs per session and 200 GB–1 TB active workspaces, depending on plan.
See Pipette run real biological analyses
Explore real sessions where raw data becomes figures, tables, methods, and downloadable results.
RNA-seq differential expression
Rice salt-alkali stress: DEG discovery, volcano plots, and enrichment from raw sequencing data.
Single-cell clustering & markers
Human pancreatic islets: cell-type clustering, UMAP embeddings, and marker-gene identification.
Variant interpretation
KRAS variants in pancreatic cancer, linked to survival outcomes across a patient cohort.
Literature-scale review
scRNA-seq in the lung-cancer tumor microenvironment, synthesized across PubMed sources.
Comparative genomics
FOXP2 "language gene": protein comparison across mammals and birds with phylogenetics.
Drug design & docking
Imatinib against BCR-ABL kinase: structure retrieval, docking, and binding analysis.
Three steps. Zero setup.
Upload
.fastq.gz .bam .h5 .csv — drag, drop, done.
Ask
Say "Run differential expression on treated vs control." Pipette picks the tools, sets parameters, runs the pipeline.
Discover
volcano_plot.png de_results.csv analysis_summary.txt — plus a literature-grounded report.
Your data stays yours
Pipette is built on industry-standard security with strict privacy guarantees. Your research data is never shared or used to train AI models.
Industry-standard security
Encryption in transit and at rest, hosted on secure cloud infrastructure.
Never used for training
Your data, prompts, and results are never used to train AI models — ever.
Private, isolated compute
Every analysis runs in an isolated environment. Your data is never shared with other users.
You stay in control
Export or delete your data anytime, with full provenance over every result.
Published science, open to inspection
Pipette's SkillGraph connects 104+ curated bioinformatics skills with evidence from more than 20,000 papers. Explore it online or connect the public MCP server to an AI client.
Start with credits, scale with your team
Free credits are available to explore the platform. Buy more when needed, or move your team onto shared infrastructure.
Self-serve credits
For individual researchers and small projects. Buy credits once — they never expire.
Lab & team plans
For groups that need seats, shared billing, and higher usage across the team.
Trusted by genomics and computational biology researchers
"I've been testing the Pipette.bio agent over the past few days, running both RNA-seq and PTCH2 analyses to evaluate reproducibility and interpretability. My experience was really good."
"I used Pipette for single cell analysis of my fish samples. Uploading the data and getting started was easy. The pipeline did most of what I expected. I would recommend Pipette to other users."
"Pipette is a great tool for lab biologists. It takes minutes to perform data analysis tasks that otherwise took days to complete."
"Tried Pipette.bio for my prokaryotic pipeline and it was genuinely solid. The AI actually understands bioinformatics workflows."
"I must say this a great platform, like one I always had in mind to develop."
Frequently asked
Bench scientists who generate sequencing data but depend on others to analyze it, small labs without a dedicated bioinformatician, and PIs who need auditable, reproducible pipelines across their team.
Every analysis records its full lineage — inputs, parameters, software versions, outputs, and code — so results can be reproduced on any machine, any time.
No. Pipette runs entirely in your browser. Log in, upload your data, and start analyzing.
150+ open-source tools across RNA-seq, single-cell, ChIP/ATAC-seq, variant calling, metagenomics, and more — including STAR, Salmon, DESeq2, Seurat, GATK, MACS2, and bcftools. See real analyses →
Build on a durable analysis layer
Start an analysis yourself, or bring Pipette into your lab or R&D team.
Start an Analysis