---
title: Future House
slug: future-house-819d0
url: /detay/future-house-819d0
type: article
language: English
entity:
  primary: Future House
  type: article
  disambiguation: AI-powered scientific discovery: Future House accelerates research with innovative tools.
  categories:
    - name: Software And Artificial Intelligence
      slug: yazilim-ve-yapay-zeka
      url: /kategori/yazilim-ve-yapay-zeka
  tags:
    - AI Scientist
    - Research Tools
    - Scientific Discovery
    - Future House
    - Artificial Intelligence
author: Ömer Said Aydın
created_at: 2025-05-11T16:16:49.517197+03:00
updated_at: 2025-05-13T19:47:10.081232+03:00
image: https://cdn.t3pedia.org/media/uploads/2025/05/11/9VHbOMlXw4AC7NtPNsNaPmhHNlDdsYKk.jpg
---

# Future House

<!-- CONTEXT: KURE Information Cards for "Future House" -->

## KURE Information Cards

### KURE Information Card: Future House

![CA7R9HDiGokDU6xhTYaYSP39Nm3uFpHr.webp](https://cdn.t3pedia.org/media/uploads/2025/05/11/0QFqgTyamsWdGWZUMmMHoHKwKpDI5S9w.webp)

| Field | Value |
|-------|-------|
| Website(s) | https://www.futurehouse.org/ |
| Founded(Text) | 2024 |
| Founder(s) | Sam Rodriques Andrew White |
| Location | San Francisco California USA |

<!-- CONTEXT: Article Content for "Future House" -->

## Article Content

[Future House](/en/detay/future-house-17774/llms.txt) is a nonprofit research organization that develops artificial intelligence (AI)-based tools to accelerate scientific discovery. Established in 2024 with the support of former [Google](/en/detay/cisco-1c30c/llms.txt) CEO Eric Schmidt, the organization aims to develop a functional “[AI scientist](/en/detay/artificial-intelligence-tools-ai-tools-a3e1f/llms.txt)” within a decade. Its work focuses on building AI systems that can automate research processes in biology and other complex scientific fields. The organization is headquartered in the United States.

### **Founding**

Future House was co-founded by CEO Sam Rodriques and Chief Science Officer Andrew White. The organization is staffed by a multidisciplinary team of technical and operational experts. Members of the team include Sam Cox, Michael Skarlinski, Jon Laurent, Lauren Jaeger, Siddharth Narayanan, James Braza, Michaela Hinks, Ryan-Rhys Griffiths, Tyler Nadolski, Kiki Szostkiewicz, Geemi Wellawatte, Jasmine Dhaliwal, Mayk Caldas, Ludovico Mitchener, Ali Ghareeb, Albert Bou, and Remo Storni.

### **Mission and Research Layers**

Future House’s main goal is to develop an AI scientist that can automate scientific research and accelerate the discovery process. This vision is structured across four layers:

1. The first layer includes humans and their research goals (e.g., full understanding of brain function or gene delivery technologies).
2. The second layer involves the AI scientist who generates hypotheses and updates models with experimental data.
3. The third layer comprises AI research assistants tailored for specific biological workflows.
4. The fourth layer includes predictive tools such as AlphaFold, laboratory experiments, and application programming interfaces (APIs).

### **Platform and AI Tools**

In 2025, Future House launched its first platform and API, consisting of four AI tools: **Crow, Falcon, Owl**, and **Phoenix**. These tools assist researchers in literature review, data mining, literature comparison, and experiment planning.

- **Crow** is a general-purpose literature review and question-answering tool.
- **Falcon** specializes in comprehensive literature analysis and access to scientific databases.
- **Owl** focuses on identifying prior studies in specific domains.
- **Phoenix** is designed for experiment planning in chemistry and is based on the organization's **ChemCrow** system.

All tools offer access to high-quality open-access scientific literature and domain-specific utilities. They support multi-step reasoning processes, enabling in-depth evaluation of each source. The platform is accessible via both a web interface and an API.

### **Tool Performance and Criticism**

**Crow**, **Falcon**, and **Owl** have outperformed existing frontier models in information retrieval accuracy and summarization quality, at times exceeding the performance of PhD-level researchers.

However, Future House has not yet achieved a scientific breakthrough or original discovery using these tools. The reliability of AI systems in addressing complex scientific problems remains a topic of concern, with risks stemming from their tendency to produce incorrect or fabricated information.

### **Benchmarks and PaperQA2**

To evaluate the scientific proficiency of AI models, Future House released BixBench, a bioinformatics-focused benchmark dataset comprising 53 scenarios and 296 research questions. Claude 3.5 Sonnet and GPT-4o scored only 17% and 9% respectively, demonstrating that autonomous scientific discovery is still in its infancy.

Conversely, the organization's literature tool PaperQA2 achieved the highest accuracy in the RAG-QA Arena benchmark for scientific tasks. PaperQA2 uses multi-stage techniques such as query expansion, source re-ranking, and contextual summarization to answer scientific queries with high accuracy.

### **Future Outlook**

Future House plans to expand the BixBench dataset, conduct performance comparisons against human researchers, and develop new models with improved scientific reasoning abilities. Its ultimate objective is to create an AI scientist capable of automating tasks such as hypothesis generation, experimental design, data analysis, and scientific writing. These systems are expected to significantly accelerate research processes in fields such as medicine, climate change, and emerging technologies.

<!-- CONTEXT: Academic Sources and References for "Future House" -->

## Academic Sources and References

1. "About Us." FutureHouse. Accessed May 8, 2025. https://www.futurehouse.org/about."BixBench." FutureHouse. Accessed May 8, 2025. https://www.futurehouse.org/research-announcements/bixbench."FutureHouse Homepage." FutureHouse. Accessed May 8, 2025. https://www.futurehouse.org/."FutureHouse Releases AI Tools It Claims Can Accelerate Science." TechCrunch. Accessed May 8, 2025. https://techcrunch.com/2025/05/01/futurehouse-releases-ai-tools-it-claims-can-accelerate-science/."FutureHouse Team." FutureHouse. Accessed May 8, 2025. https://www.futurehouse.org/team."Launching FutureHouse Platform AI Agents." FutureHouse. Accessed May 8, 2025. https://www.futurehouse.org/research-announcements/launching-futurehouse-platform-ai-agents."PaperQA2 Achieves SOTA Performance on RAG-QA Arena Science Benchmark." FutureHouse. Accessed May 8, 2025. https://www.futurehouse.org/research-announcements/paperqa2-achieves-sota-performance-on-rag-qa-arena-science-benchmark."Research Overview." FutureHouse. Accessed May 8, 2025. https://www.futurehouse.org/research."Unveiling AI Tools Designed to Accelerate Scientific Discovery." Cyprus Business Guide (CBG). Accessed May 8, 2025. https://cbg.com.cy/future-house-unveils-ai-tools-designed-to-accelerate-scientific-discovery/.