Asta DataVoyager: Data-driven discovery and analysis of structured experimental data for scientists

Good news! How much will this accelerate and boost scientific research?

".. Experimental logs live in spreadsheets; instrument readings arrive as CSVs; and results tables pile up across projects. Turning those structured files into answers takes time and often requires advanced programming skills to be done efficiently.

To fill the gap, we’re launching DataVoyager in Asta, our ecosystem for scientific research agents. Built to address the challenges scientists face in drilling down into structured datasets, Asta DataVoyager delivers data-driven discovery and analysis capabilities that allow you to ask questions about structured files in plain language and get clearly cited, explainable answers with copyable code, clear visuals, and a concise, well-supported summary. ...

Users upload a dataset and ask a question (e.g., “Which treatment shows the most improvement after week 6?”), along with an optional prompt to establish context so that Asta DataVoyager makes better initial choices. ...

Moreover, Asta DataVoyager allows teams to stay in full control of their data—they can delete datasets at any time from Asta’s hosted portal or secure on-premises, datacenter, and private cloud deployments. ..."

"... Asta DataVoyager is a trusted AI collaborator—one that lets researchers make queries about data in natural language and get transparent, reproducible answers they can act on. It was designed from the start to be intuitive for users, regardless of their comfort level working with dataset analysis tooling. ...

Users upload a dataset in CSV, Excel (.xlsx), JSON (.json/.jsonl), HDF5, TSV, or Parquet format and ask a question (e.g., “Which treatment arm shows the steepest improvement after week 6?”), along with an optional prompt to establish context (e.g., “use these units, measurement cadence, treatment conditions, and outcome variables”) so that Asta DataVoyager makes better initial choices.

Asta DataVoyager then outputs: 

• A crisp answer to the user’s question, written for scientists
• Copyable visuals that make the finding understandable at a glance
• Copyable code that reproduces the analysis
• A methods section that documents assumptions, detailed reasoning steps, and statistical tests conducted—so users can cite the procedure or adapt it

..."

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Asta DataVoyager: Data-driven discovery and analysis