Marketplace for AI agents in Scientific Research: Transform your Scientific Research workflows with assistants from top-rated AI automation agencies worldwide.

AI Agents for Scientific Research | AI Agent Store

Data-to-Paper is an innovative AI-powered framework designed to automate the entire scientific research process. By integrating Large Language Models (LLMs) with rule-based agents, it guides the transformation of raw data into complete, transparent, and verifiable scientific manuscripts. The platform autonomously handles tasks such as hypothesis generation, research planning, analysis code writing and debugging, result generation and interpretation, and manuscript drafting. This approach aims to accelerate scientific discovery while upholding essential values of transparency, traceability, and verifiability in research.

Data-to-Paper

data-to-paper

An AI-driven platform automating the transformation of raw data into comprehensive, traceable scientific papers.

FutureHouse is a nonprofit organization on a 10-year mission to create semi-autonomous AI systems, known as AI Scientists, aimed at expediting scientific discovery and providing global access to cutting-edge expertise in science, medicine, and engineering. By integrating advanced AI technologies, FutureHouse seeks to enhance the efficiency and effectiveness of scientific research, enabling rapid advancements in understanding complex biological systems and other scientific domains. Their initiatives include the development of tools like PaperQA2, an open-source AI system designed to search academic databases and summarize relevant scientific literature, thereby facilitating informed decision-making and innovation.

FutureHouse

futurehouse

A philanthropically-funded initiative dedicated to developing semi-autonomous AI systems to accelerate scientific research and democratize access to advanced scientific expertise.

AI Agents for "Scientific Research" Industry

Data-to-Paper

FutureHouse