Potato AI is a GenAI-powered research assistant to speed up scientific discoveries by sifting through extensive research publications.

Potato AI, co-founded by Ryan Kosai and Nick Edwards, aims to streamline the research process as an assistant. Using GenAI’s language models and retrieval-augmented generation (RAG), Potato analyzes vast collections of scientific literature. This AI-driven tool simplifies searching for experiment ideas and refining protocols. By pinpointing relevant studies and offering real-time critiques, Potato helps researchers quickly design repeatable experiments. Solving issues with accuracy and reproducibility.

With a special focus on biology and medicine, Potato uses natural language processing to guide researchers in experiment planning. The platform doesn’t just summarize findings. It digs into scientific publications to highlight potential errors or suggest innovative changes. For example, the tool can detect weak experiment controls or identify overlooked details that could improve outcomes. A critical advantage for researchers aiming to avoid common pitfalls in scientific protocols. This level of precision helps address a major challenge in research. Which is the reproducibility crisis, where many studies cannot be replicated due to inconsistent methods.

Potato AI is already gaining traction in leading research institutions like Stanford, Harvard, and MIT. Its partnership with Wiley, a top academic publisher, gives the platform access to a vast database of scientific articles, ensuring comprehensive research insights. By integrating GenAI, Potato provides a more robust and reliable research aid than simple summarization tools, allowing scientists to innovate faster. Beyond biology, Potato plans to expand into materials science and chemistry, bringing AI-assisted breakthroughs across scientific fields.

The platform offers free basic access for individual scientists, with paid options for those needing more robust data integration and collaborative features. Potato AI’s tool is set to become an essential resource for labs seeking quicker, more efficient scientific progress.