AutoDiscovery arrives as a tool that autonomously explores your datasets and gives you reproducible hypotheses, code, and statistical results ready for deeper investigation. Can you imagine letting the tool run while you rest and waking up to a list of research directions you might not have thought of? That’s exactly what it proposes.

What is AutoDiscovery and why it matters

AutoDiscovery is an experimental feature in AstaLabs designed to explore structured datasets without a prior question. Unlike most AI tools for science that expect an initial hypothesis, AutoDiscovery performs a broad search across hypothesis space: it proposes ideas, designs and runs statistical experiments, and returns findings with reproducible code.

This changes the classic research flow: you no longer only answer questions you already had; the tool helps you find questions. For researchers with large amounts of data — genomics, clinical trials, ecological monitoring, economic surveys — this can speed up the discovery phase and suggest directions you wouldn’t have guessed.