Where research pushes the frontier
Tally.AI empowers research with AI-Driven aggregation and analysis of scientific papers.
Where Artificial Intelligence Enhances Research
Similarity Scores
Calculate similarity scores with your current work and compare it to other works that are newly published.
Knowledge Graphs
Generate knowledge graphs that allow insights into other relevant papers within the field.
Real-Time Alerts
Receive real time alerts as when new research out of other labs and research groups directly links to your work.
Explore Your Field Niche with the latest in Retrieval-Augmented Generation tools
Tally.AI combines LLM's with the latest technologies within the RAG space to give your personalized insights into your work.
One Platform, Endless Possibilities
Tally.AI provides a host of benefits to researchers.
- Prevent Duplicative Efforts
- Enhance Collaboration Between Research Groups
- Stay Up-To-Date with the Latest Works within your Field
Founded by a Team of Industry Experts
George Cheng is an AI researcher and undergraduate at MIT, engaged in projects at various labs such as the Koch Institute for Integrative Cancer Research and MIT Sloan School of Management.
Dylan Nguyen is an undergraduate studying mathematics and computer science at MIT. His past research experience includes work at the Max Planck Florida Institute for Neuroscience and at the MIT Myerson Research Group.
Yimeng Li is a Wharton MBA and Harvard MPA candidate with a background as an ex-Citi investment banker. A graduate from Tsinghua University, his past work focused in natural language processing and data science.
Ziping Ye is currently an Applied Scientist Intern at Amazon, while also pursuing a masters in computer science at the University of Pennsylvania. His work at Amazon and his research specialize in the development of Large Language Models and graph technologies.
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