Former Google CEO-Backed Startup Builds AI Agents for Science

 FutureHouse, a nonprofit backed by former Google CEO Eric Schmidt, has launched a new AI platform to help scientists navigate vast amounts of data and accelerate new discoveries.

The platform uses what FutureHouse calls the first “superintelligent scientific agents,” outperforming human workers in tasks such as reviewing literature and distinguishing between reliable and unreliable sources.


Agents for hypothesis generation and experimental planning are also set for launch.

Four of these specialized AI agents are being included in the platform’s launch, each designed to target a different element of scientific discovery. 




FutureHouse, a nonprofit backed by former Google CEO Eric Schmidt, has launched a new AI platform to help scientists navigate vast amounts of data and accelerate new discoveries.

The platform uses what FutureHouse calls the first “superintelligent scientific agents,” outperforming human workers in tasks such as reviewing literature and distinguishing between reliable and unreliable sources.


Agents for hypothesis generation and experimental planning are also set for launch.

Four of these specialized AI agents are being included in the platform’s launch, each designed to target a different element of scientific discovery. 


The launch addresses what FutureHouse describes as an "information bottleneck" in science.

“Science is drowning in data,” the company said. “The 38 million papers on PubMed, 500,000+ clinical trials, and thousands of specialized tools have created an information bottleneck that no single human can navigate. FutureHouse is changing that.” 

Related:PayPal, Perplexity Team for AI-Powered Commerce

To set its platform apart from other tools, FutureHouse said its agents are integrated with high-quality, open-access scientific databases, and are able to automate sophisticated workflows in fields like chemistry and biology. 


The reasoning processes are also made accessible to users as a step-by-step guide, for full transparency.


The company said its agents have been benchmarked against leading frontier models and even outperformed PhD-level researchers in head-to-head literature review tasks. 

“With our platform, scientists can identify unexplored mechanisms in disease pathways, conduct systematic literature contradiction analysis, customize research pipelines via API and conduct cross-species mechanism comparison,” FutureHouse said in a statement. “By chaining these agents together, at scale, scientists can greatly accelerate the pace of scientific discovery.”


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