Google launched Gemini for Science, a collection of experimental AI tools designed to accelerate scientific research workflows, during its I/O 2026 developer conference.

The suite includes three core features targeting different stages of the research process. Hypothesis Generation scours millions of scientific papers to help researchers formulate theories and identify research challenges, with Google claiming the tool provides "deeply verified" suggestions backed by clickable citations.

Computational Discovery acts as what Google calls "an agentic search engine" that can generate thousands of tests and experiments at speeds far exceeding manual processes. The tool aims to help researchers validate their hypotheses through automated experimental design.

Literature Insights rounds out the offering as an AI-powered chat interface that processes scientific literature and converts findings into digestible formats including reports, infographics, and audio or video summaries.

Science Skills integration

Google is also launching Science Skills alongside the main tools, which can extract insights from over 30 major life science databases. The company said this feature enables researchers to complete "complex and often manual workflows in minutes rather than hours."

The tech giant is gradually rolling out access to these experimental tools starting today. Interested researchers can apply through a form on the Google Labs website, while enterprise organizations can access the tools through Google Cloud.

The announcement comes as Google continues expanding its AI offerings across various sectors, though scientific research represents a potentially high-impact application area where AI assistance could meaningfully accelerate discovery processes.

Google has not disclosed pricing for enterprise access or provided a timeline for broader public availability of the Gemini for Science tools.