AI Forge

Accelerating scientific discovery with AI.

About us

Scientific discovery is a continuous cycle of hypothesis, experimentation, critique, and refinement—a process that often takes researchers months or years. In collaboration with Google Research and Google DeepMind, we developed Co-Scientist: a multi-agent AI system designed to generate and refine breakthrough scientific theories.

“Every breakthrough starts with the right idea. Co-Scientist is a multi-agent AI system, built with Gemini models, that is inspired by the scientific process: it proposes hypotheses grounded in the literature, subjects them to virtual peer review and computational analysis, and runs them through a tournament of ideas until the most promising, testable leads rise to the top. Published in Nature. Validated in the lab.”

Matthias Heiler

Distinguished Engineer, AI and Systems Research • Google AI & Infrastructure

Featured research

Nature 2026

Accelerating Scientific Discovery with Co-Scientist

Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, Tao Tu, Petar Sirkovic, Artiom Myaskovsky, Grzegorz Glowaty, Felix Weissenberger, Alessio Orlandi, Dan Popovici, Anil Palepu, Keran Rong, Ryutaro Tanno, Khaled Saab, Fan Zhang, Jacob Blum, Andrew Carroll, Kavita Kulkarni, Nenad Tomašev, Dina Zverinski, Ivor Rendulic, Elahe Vedadi, Florian Hasler, Luka Rimanic, Marina Boia, Ivan Budiselic, Ben Feinstein, Mathias Bellaiche, Tom Sheffer, Jan Freyberg, Jeremy Ratcliff, Ottavia Bertolli, Katherine Chou, Avinatan Hassidim, Burak Gokturk, Amin Vahdat, Yuan Guan, Vikram Dhillon, Eeshit Dhaval Vaishnav, Byron Lee, Tiago R. D. Costa, José R. Penadés, Gary Peltz, Yossi Matias, James Manyika, Demis Hassabis, Yunhan Xu, Pushmeet Kohli, Annalisa Pawlosky, Alan Karthikesalingam & Vivek Natarajan.

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Wiley Advanced Science 2025

AI-Assisted Drug Repurposing for Human Liver Fibrosis

Yuan Guan, Lu Cui, Jakkapong Inchai, Zhuoqing Fang, Jacky Law, Alberto Alonzo Garcia Brito, Annalisa Pawlosky, Juraj Gottweis, Alexander Daryin, Artiom Myaskovsky, Lakshmi Ramakrishnan, Anil Palepu, Kavita Kulkarni, Wei-Hung Weng, Zhuanfen Cheng, Vivek Natarajan, Alan Karthikesalingam, Keran Rong, Yunhan Xu, Tao Tu, and Gary Peltz

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Cell 2025

AI Mirrors Experimental Science to Uncover a Mechanism of Gene Transfer Crucial to Bacterial Evolution

José R. Penadés, Juraj Gottweis, Lingchen He, Jonasz B. Patkowski, Alexander Daryin, Wei-Hung Weng, Tao Tu, Anil Palepu, Artiom Myaskovsky, Annalisa Pawlosky, Vivek Natarajan, Alan Karthikesalingam, Tiago R.D. Costa

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arXiv 2026

CoDaS: AI Co-Data-Scientist for Biomarker Discovery via Wearable Sensors

Yubin Kim, Salman Rahman, Samuel Schmidgall, Chunjong Park, A. Ali Heydari, Ahmed A. Metwally, Hong Yu, Xin Liu, Xuhai Xu, Yuzhe Yang, Maxwell A. Xu, Zhihan Zhang, Cynthia Breazeal, Tim Althoff, Petar Sirkovic, Ivor Rendulic, Annalisa Pawlosky, Nicolas Stroppa, Juraj Gottweis, Elahe Vedadi, Alan Karthikesalingam, Pushmeet Kohli, Vivek Natarajan, Mark Malhotra, Shwetak Patel, Hae Won Park, Hamid Palangi, Daniel McDuff

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Collaborations

bioRxiv 2026

AI-Guided Discovery of Atypical Protein Assemblies

AmirAli Toghani, Benjamin A. Seager, Yu Sugihara, Lisa-Marie Roijen, Juan M. Azcue, Maián Garro, Maryam Sargolzaei, Ioanna Morianou, Adeline Harant, Sam Gallop, Jiorgos Kourelis, Dan MacLean, Mauricio P. Contreras, Sophien Kamoun, and Daniel Lüdke.

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AI-Guided Discovery of Atypical Protein Assemblies

arXiv 2026

Extremal Chowla Sets and Their Linear Analogues: A Human-AI Mathematical Investigation Using Co-Scientist

Mohsen Aliabadi, Keith Driscoll, Elliot Krop, Petar Sirkovic, Everett Sullivan, Elahe Vedadi

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Extremal Chowla Sets and Their Linear Analogues: A Human-AI Mathematical Investigation Using Co-Scientist

bioRxiv 2026

Perturb-ME: Scalable Mechanism Discovery from Phenotype-Enriched Genome-Wide Screens

Hanchen Wang, Jiacheng Gu, Chris J. Frangieh, Michael S. Cuoco, Maryann Zhao, Arindam Sett, Tom Beyer, Kuan Pang, Etzard Stolte, Zihan Xu, Jure Leskovec, Orit Rozenblatt-Rosen, Vivek Natarajan, Kathryn Geiger-Schuller, Pratiksha I. Thakore, Aviv Regev

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