Google Deepmind has expanded its multi-agent system Co-Scientist from a hypothesis generator into a lab-integrated research partner. According to Google, the system has delivered experimentally validated results across three disciplines.
Built on current Gemini models, Co-Scientist now plans experiments, writes code, and controls lab equipment instead of just generating hypotheses. What's technically new is the closed-loop research workflow: the system derives hypotheses from a research question, creates experimental plans, programs, or machine-readable lab protocols, analyzes results, and generates scientific manuscripts.
Verification modules cross-check numerical claims in the text against the execution logs of the generated code to cut down on fabricated results. Google first introduced Co-Scientist in February 2025, then based on Gemini 2.0 and with shortcomings in fact-checking and literature review.
The expanded system was validated across three disciplines with increasing autonomy. Co-Scientist designed synthesis recipes for humans to execute in materials science, built a prediction pipeline with expert feedback in biology, and worked entirely on its own in computer science.
Co-Scientist moves through three phases: ideation, experimentation, and paper generation (left). The three applications (right) range from human-guided material synthesis to collaborative biology to fully autonomous AI architecture development. | Image: Schmidgall, Zhu et al. (2026)
