Tally

AI is a platform focused on supporting researchers through AI-driven aggregation and analysis of scientific papers. The tool is designed to help users explore their specific research fields by leveraging technologies in retrieval-augmented generation (RAG) and large language models (LLMs), providing personalized insights relevant to ongoing work.

AI include the ability to calculate similarity scores between a user's current research and newly published works, facilitating comparison and helping prevent duplicative efforts. The platform also generates knowledge graphs, offering visual insights into relevant papers within a given field. AI provides real-time alerts when new research from other labs and research groups directly links to a user's work, enhancing the ability to stay updated with the latest developments and fostering collaboration between research groups.

AI is particularly aimed at researchers looking to remain current in their fields, avoid redundant research, and enhance collaboration. The service is presented as a unified platform incorporating the latest advancements in RAG and AI to streamline research workflows and improve access to pertinent scientific literature.

AI is web-based or available through other platforms. The tool is developed by a team with backgrounds in AI research and experience at institutions such as MIT and the Max Planck Florida Institute for Neuroscience.