Reproducible analytical systems for life-science research.

Scilytica combines computational biology, workflow engineering, and cloud software to develop reusable systems that keep biological questions, methods, data, execution, evidence, and review connected.

Focused on single-cell, spatial, and multi-omics research.

Discuss a research problem Explore products

The problem

An analysis is more than the workflow that runs it.

Biological analyses often become disconnected collections of scripts, notebooks, workflows, datasets, parameters, results, and undocumented decisions.

Keep context visibleConnect the biological question and method to the data, implementation, and evidence.

Preserve what happenedRecord inputs, parameters, environments, execution, and results so the work can be traced and compared.

Make review part of the systemKeep assumptions, quality evidence, and scientific decisions close enough for others to understand and continue the work.

Reusable technology

Products shaped by recurring scientific and engineering needs.

Explore products

Scilytica Toolkit

Reusable Python software emerging from Scilytica’s analytical work, beginning with reproducible single-cell and spatial analysis.

Learn more →

Scilytica Workbench

A product direction for developing, running, reviewing, comparing, and reproducing life-science analyses, built from a reviewable local workflow prototype.

See the product direction →

Current research

Testing what can be reused and what must be tested again.

Scilytica is evaluating whether a fixed kidney reference built across spatial and single-nucleus data can map cells from previously unseen patients and platforms without changing the reference used for comparison.

The work provides evidence for method development, controlled evaluation, and the reproducibility practices that inform Scilytica’s software.

Study design and validation are in progress.

Review the research preview

Expert services today