We are a non‑profit developing AI agents that automate research in biology and other complex sciences.
Funding
Funding not disclosed
Founders
Product
Problem
Biological and chemical research faces a bottleneck due to the sheer volume of genes, cell types, diseases, and experimental possibilities, while the number of trained scientists capable of reading literature, forming hypotheses, designing experiments, and interpreting results remains limited.
Solution
FutureHouse, a nonprofit research lab, develops advanced AI agents that can autonomously perform literature review, hypothesis generation, experimental design, data analysis, and result interpretation across biology and chemistry. The organization runs an AI‑for‑Science Independent Postdoctoral Fellowship that pairs early‑career researchers with these agents and academic co‑advisors, enabling rapid, end‑to‑end discovery such as enzyme design and molecular crystal structure prediction. In parallel, FutureHouse creates open‑source platforms, benchmarks, and training resources so academic scientists can integrate AI tools into their own workflows. By combining AI‑driven automation with human expertise, the lab accelerates basic science breakthroughs and expands the effective research capacity of the scientific community.
Target Audience
Primary users are early‑career researchers and postdoctoral fellows in academia who seek AI‑augmented discovery, as well as university labs and research institutions looking to incorporate autonomous AI agents into their scientific workflows.
Features
- Multi‑agent systems (e.g., Robin) that generate hypotheses, design experiments, and analyze data without continuous human supervision
- Specialized reasoning models (e.g., ether0) optimized for chemistry tasks such as molecular design and crystal structure prediction
- Open‑source AI agents (PaperQA, Aviary) that achieve superhuman performance on scientific literature and reasoning benchmarks
- Community‑focused benchmarks (LAB‑Bench, BixBench) for evaluating AI performance on practical biology and bioinformatics tasks
- Fellowship program that provides early‑career scientists with AI tools, academic co‑advisors, and access to wet‑lab resources
- Training resources and APIs that allow external researchers to embed FutureHouse AI agents into their own computational pipelines