At its core, Heureka is data-driven, not language driven. This means that our insights are based on empirical data associations in our data model and traceable to data artifacts that can support your research even when there are no existing publications -- advancing novel discovery. Our system minimizes the risks associated with author bias, hallucinations, or dependencies on published literature while promoting reproducibility, transparency, and accessibility. Additionally, we put each output through a series of verification mechanisms and multi-step tests purpose-built for biomedical research to maximize the reliability of our outputs. We also have a suite of tools and agents custom-built for researchers to advance discovery. Plus, with Heureka Bench, you can run projects locally for greater privacy and seamless integration into your existing workspaces. Our models don't train on user data, but we do also offer teams the ability to work with Heureka to build their own proprietary data models using our systems for even more personalized results.