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Eric Schmidt-backed FutureHouse just unveiled a powerful new suite of AI research agents built to tackle one of science’s biggest headaches: information overload. With millions of papers and databases to sift through, researchers are drowning in data. These new agents aim to change that.
The platform introduces four specialized AI agents—Crow, Falcon, Owl, and Phoenix—accessible via web and API.
Each agent has a distinct specialty:
Crow: General research
Falcon: Deep literature reviews
Owl: Identifies related or prior research
Phoenix: Tailored to chemistry workflows
FutureHouse claims the agents outperform both PhD-level researchers and top traditional search engines in literature search and synthesis—delivering superhuman performance.
They’re also transparent: each agent shows how it reaches its conclusions, making the research process traceable and trustworthy.
They tap into specialized scientific databases, enabling domain-specific insights that generic models can’t match.
Many companies are working to integrate AI into scientific workflows—but FutureHouse actually has a live product ready to go. This launch signals a shift: AI isn’t just assisting science anymore—it’s becoming a core research partner.
The race is on to embed reasoning-capable, data-synthesizing agents into labs and institutions. FutureHouse just fired an early shot.