Product · In development
DataWeaver.AI — your co-pilot for data management (and science)
Modern labs run complex, heterogeneous workflows across many departments, sites, people, instruments, and software — leaving data fragmented across sources, locations, types, and formats. DataWeaver.AI weaves it back together.
Open source · AGPL-3.0
DataWeaver.AI is open source at its core. Customizations we build for a collaborator are that collaborator's intellectual property.
The problem
Fragmented data, everywhere
When every department, site, and instrument produces its own data in its own format, answering a single question can mean stitching together a dozen sources by hand. DataWeaver.AI uses AI-assisted tools to support the common operations that make fragmented data usable again.
Data management
Link related data across sources and query it through natural language, instead of hunting across systems.
Data curation
Monitor data quality in real time, surfacing issues before they propagate downstream.
Data science
Generate visualizations and plain-language explanations that turn combined datasets into observations.
Example use case
Characterizing proteins
Given: protein sequences alongside expression, abundance, and binding (SPR) data.
DataWeaver.AI delivers: visualizations such as correlation matrices and scatter plots, plus a plain-language explanation of the combined data — the observations a scientist would otherwise assemble manually.
Interested in DataWeaver.AI?
It's in active development. Reach out to follow its progress or shape where it goes.
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