From scientific intent to reproducible analysis
Pipette connects scientific reasoning, bioinformatics workflows, managed compute, and project knowledge in one system—so research teams can move from biological questions to reproducible results without stitching together scripts, tools, and infrastructure.
Product overviewTrusted by researchers at
Built for biological analysis, not generic chat
Conversation is the interface. Underneath it, Pipette connects biological context, scientific planning, managed execution, durable project state, and 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, managed together
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 research should compound
Most computational analyses end as scripts, folders, notebooks, and files scattered across a team. Pipette keeps the analysis, reasoning, methods, outputs, and project context together so future work can build on what the organization has already learned.
- 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 100–250 GB inputs per session and 250 GB–1 TB active workspaces, depending on plan.
Turn research history into usable scientific context
Biological organizations already have years of valuable experimental and analytical data. Pipette is being built so that history can become usable context for future analysis, model development, prediction, and scientific decision-making.
Today, the platform creates that foundation by keeping data, methods, decisions, outputs, and project history connected rather than scattered across disconnected tools.
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.
Start with the question, not the infrastructure
Upload
.fastq.gz .bam .h5 .csv — drag, drop, done.
Describe the objective
State the biological comparison and desired result. Pipette translates that intent into a reviewable analysis plan.
Inspect and continue
Review figures, tables, methods, code, and provenance—then continue the project with its context intact.
Your data stays yours
Research data is encrypted in transit and at rest, processed in managed analysis environments, and not used to train Pipette or third-party AI models. Review the full data lifecycle on our Security page.
Encrypted by default
Research data is encrypted in transit and at rest on managed 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
Start on the Free tier with 20 credits per month. Buy more when needed, or move your team onto shared infrastructure.
Self-serve credits
For individual researchers and small projects. Packs include 50 GB input per session and a 100 GB active workspace; purchased credits 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
Yes. Pipette provides an agentic bioinformatics interface that turns scientific goals into reviewable analysis plans, runs the required tools on managed compute, and returns reproducible results with methods, code, parameters, and provenance. The AI agent is the interface to Pipette’s broader biological R&D infrastructure.
Pipette is for biological R&D teams, computational biology and bioinformatics groups, core facilities, principal investigators, and individual researchers who need managed, reproducible analysis with durable project context.
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