Standardize without making research rigid
Give teams reusable analytical methods while allowing scientists to adapt each analysis to the biological question.
Keep projects, data, methods, workflows, managed execution, and results connected across your organization—so scientific context survives handoffs, staff changes, and the next research question.
For heads of computational biology and R&D, bioinformatics leads, core directors, and research platform teams, Pipette turns scattered analyses into infrastructure people can inspect, continue, and reuse.
Give teams reusable analytical methods while allowing scientists to adapt each analysis to the biological question.
Inspect methods, decisions, outputs, and project history without reconstructing the analysis from scripts, folders, and messages.
Preserve organization-specific workflows and analytical decisions so future projects can build on previous work.
Give experimental and computational scientists a common environment for biological analysis, managed execution, and review.
A reproducible workflow is necessary, but it is not the whole story. Pipette keeps the analytical record around the workflow available for review and follow-up.
That means a new team member can understand what was attempted, what changed, what the team accepted, and what should happen next.
Add and reuse organization-owned workflows alongside Pipette’s managed library of 150+ bioinformatics tools. Established methods become part of the same planning, execution, and provenance layer.
Workflow onboarding and governance are scoped to your organization’s requirements, so the public site does not prescribe a single format or process.
Companies accumulate years of sequencing, assay, phenotype, trial, and experimental data. Pipette provides a common analysis layer for turning that proprietary data into reproducible workflows, traceable results, and reusable project knowledge.
By keeping data, methods, decisions, and outcomes connected, Pipette creates a foundation for future model development, prediction, and better-informed research decisions. Those capabilities are a direction the platform is being built toward, not a claim of autonomous research today.
Discuss Your WorkflowStart free with 20 credits per month. Paid-plan input limits apply per analysis session, and workspace allocations are for active work rather than permanent archival storage.
20 free credits per month
50 credits per week
115 credits per week
Usage and terms scoped with your organization
The Free tier is available now. Premium and Scale remain waitlist plans, and self-serve extra-credit packs remain available. See complete pricing →
Pipette Lab is shared bioinformatics infrastructure for labs, cores, biotech, and R&D teams. It connects managed analysis, projects, data, workflows, outputs, and retained analytical context in one team workspace.
The Free tier includes 20 free credits per month to explore Pipette without a subscription. Paid team capacity and collaboration features are described separately for Premium, Scale, and Enterprise.
Yes. Teams can add and reuse organization-owned workflows alongside Pipette’s managed tool library. Onboarding and governance are scoped to the organization’s requirements.
It preserves the project record around an analysis, including method decisions, assumptions, parameters, workflow versions, outputs, and follow-up context, so knowledge remains usable across the team.
No. The published 250 GB to 1 TB allocations describe active workspace. They should not be interpreted as permanent archival storage.
Bring your team’s analyses, workflows, and scientific context into one managed operating layer.