Built by people who build AI scientists.
LitLit is built by a multidisciplinary team of researchers, engineers, and product builders working across artificial intelligence, scientific knowledge systems, information retrieval, and research agents.
- 01Artificial intelligence
- 02Scientific knowledge systems
- 03Information retrieval
- 04Research agents
Our work goes beyond literature search.
We have been building AI systems that can participate more deeply in the research process — from literature understanding and scientific reasoning to experimentation and end-to-end research workflows.
- 01Literature understandingReading a field and what each paper adds to it
- 02Scientific reasoningWeighing evidence and following an argument
- 03ExperimentationTurning a question into something that can be tested
- 04End-to-end research workflowsFrom a question to a result
ICAIS 2025 · International Conference on AI Scientists
First Prize
AI Scientists Challenge — Literature Review Track
Our AI Scientist system won the Literature Review Track at the ICAIS AI Scientist Challenge, demonstrating our ability to build agents that can understand, synthesize, and reason over scientific literature at a high level.
That experience also shaped how we think about LitLit.
As AI becomes increasingly capable of reading, analyzing, experimenting, and even conducting parts of the scientific process autonomously, we believe the most important role of research tools is not to replace human judgment, but to extend it.