Malva is the search platform that connects single-cell data to find targets, validate biomarkers, and explore biology at a resolution that standard tools miss.
∙ Instant processing and search on millions of cells
∙ Integrate your private data with curated public sources
∙ Answer questions in seconds instead of weeks
Malva enables instant and integrated search over millions of cells across thousands of samples — on your private datasets, and across >70M cells from curated public sources. Type a gene, a sequence, or describe what you’re looking for.
Malva is the fastest in class: it returns results instantaneously across millions of cells. Tasks that required compute-intensive alignment, harmonization, and annotation, are now a single query resolved in seconds.
Malva processes raw sequencing data into a single, compact index. The index is a fraction of the original data size, builds incrementally as new datasets arrive, and never requires re-computation. Add new studies on top and search improves over time.
Start to search interactively, via a Python API, or give your AI agents via MCP. Malva supports three modes of search:
Sequence - Paste any DNA or RNA sequence. Find every cell that contains it.
Gene - Enter a gene symbol (CD28, FOXP3, etc.) and see where it appears across the entire index.
AI-powered - Describe what you’re looking for (‘Markers of immunosuppression’). Malva finds it for you.
Search results land in the Malva Explorer: an environment built on all your data. Explore your data in an interactive, no-code environment, connect to your favourite bioinformatics tools via API, or connect to your AI tools via MCP. You are in control.
Other tools aggregate rich sequencing data into gene-level summaries. Useful, but lossy. Malva works at the sequence level, surfacing isoforms, mutations, or pathogens. Malva sees things that gene matrices miss entirely.
Malva lives where your data lives: on-premise, private or public cloud. Queries run locally and privately. You have full ownership of your data, nothing leaves your environment.
Queries that take days or weeks with existing approaches return results in seconds with Malva. This isn’t an optimisation. It changes what questions you can afford to ask.
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Read more about the multiple use-cases and technologies behind Malva
Malva started in the lab of Nikolaus Rajewsky at the Max Delbrück Center in Berlin. The core team behind Malva has years-long expertise in computational biology and transcriptomics.
The fastest way to evaluate Malva is to use it. We are onboarding pharma and clinical partners. Reach out to talk to us about implementing your own data infrastructure.
∙ hello@malva.bio
∙ Hannoversche Straße 28, 10115 Berlin, Germany
