In a world where the pace of data generation is far greater than the ability to process and understand it, scientific advancement is increasingly hampered by the challenge of navigating it, not by the lack of information. Today we showcase a pivotal change in the landscape. Futurehouse, an ambitious nonprofit dedicated to building AI scientists, has launched the Futurehouse platform to provide access to Superintelligent AI agents everywhere, built specifically to accelerate scientific discovery. This platform allows you to redefine how you explore biology, chemistry and medicine, and who does it.
A platform designed for a new era of science
The Futurehouse platform is not another tool for summarizing papers or generating citations. This is a dedicated research engine that introduces four deeply specialized AI agents.
Crow Ideal for generalist agents and researchers who need quick, high-quality answers to complex scientific questions. Use it through the platform’s web interface or integrate directly into the research pipeline via APIs to enable real-time, automated scientific insights.
Falconthe most powerful literature analysis tool in the lineup, conducts deep reviews drawn from its vast open access corpus and proprietary scientific databases such as Openargets. Beyond keyword matching, extract meaningful contexts and draw informed conclusions from dozens of publications.
owlIt was previously known as hasanyoneanswer some amazingly basic questions: Has anyone done this before? Whether you are proposing a new experiment or investigating ambiguous techniques, Owl can help you identify gaps where the work is not redundant and worth exploring.
PhoenixIt is still designed to help chemists with experimental releases. It is a descendant of the chemical group, can propose new compounds, predict reactions, and can plan laboratory experiments using parameters such as solubility, novelty, and synthesis cost.
These agents are not trained for general conversations. They are built to solve real problems in research. They are benchmarked against major AI systems and tested against human scientists with authentic evaluations. result? For many tasks such as literature search and integration, Futurehouse agents have more accuracy and accuracy than PhD. Agents don’t just search. We weigh these reasons, evidence, identify inconsistencies, and justify conclusions in a transparent, auditable way.
Built by scientists for scientists
What makes the Futurehouse platform uniquely powerful is the deep integration of AI engineering and experimental science. Unlike many AI initiatives that work with abstraction, Futurehouse runs its own wet lab in San Francisco. So, experimental biologists work with AI researchers to repeatedly refine the platform based on real-world use cases, creating a close feedback loop between machine and human discovery.
This initiative is part of a larger architecture developed by Futurehouse to model science automation. The base includes AI tools such as AlphaFold and other predictive models. The next layer consists of AI assistants such as Crow, Falcon, Owl, and Phoenix, which can perform specific scientific workflows such as literature reviews, protein annotations, and experimental designs. What’s more, AI scientists are intelligent systems that allow them to build world models, generate hypotheses, and design experiments that improve those models. Finally, human scientists provide a “quest.” This is a big question, such as the stiffness of Alzheimer’s disease, deciphering brain function, and the possibility of universal gene delivery.
This four-tier framework allows Futurehouse to not only improve the way researchers work, but also redefine what is possible, but also tackle science on a large scale. In this new structure, human scientists are no longer bottlenecked by the manual labor of reading, comparing and integrating scientific literature. Instead, they become orchestrators of autonomous systems that can read all papers, analyze all experiments, and continually adapt to new data.
The philosophy behind this model is clear. Artificial intelligence should not be replaced by scientists. I will influence them. In Futurehouse’s vision, AI will become a true collaborator. This allows you to explore more ideas, push the boundaries of knowledge faster and less friction.
New infrastructure for discovery
The Future House platform arrives at a time when science is ready to expand, but there is no infrastructure to do so. Advances in genomics, single-cell sequencing, and computational chemistry have made it possible to run experiments that simultaneously test tens of thousands of hypotheses. However, there is no bandwidth to design or analyze many experiments on its own. The result was a global backlog of scientific opportunities. This is an undeveloped frontier hidden by invisible eyes.
The platform provides a way. Researchers can use it to identify untapped mechanisms in disease, to resolve controversial areas of conflict, and to quickly assess the strengths and limitations of published research. Phoenix can propose new molecular compounds based on cost, reactivity and novelty. Falcons can detect conflicting or incomplete locations in the literature. Owls can guarantee that they will build on solid ground rather than reinvent the wheels.
And perhaps most importantly, the platform is designed for integration. Through APIs, research labs can automate continuous literature monitoring, trigger searches based on new experimental results, and build custom research pipelines that scale without the need to scale teams.
It’s more than a productivity tool, it’s the infrastructure layer of 21st century science. And it’s free, public and accepts feedback. Future House actively invites researchers, labs and institutions to explore the platform and shape its evolution.
With support from former Google CEO Eric Schmidt and boards that include scientific visionaries such as Andrew White and Adam Marblestone, Futurehouse is not simply chasing short-term applications. As a nonprofit, its mission is very long-term. We will build a system that allows scientific discoveries to expand both vertically and horizontally, allowing each researcher to do more exponentially and have access to science everywhere.
In a world of research overwhelmed by complexity and noise, Futurehouse offers clarity, speed and collaboration. If the biggest limit of science today is time, then Future House may have just returned some of it.
