At its core, Heureka is data-driven, not language driven. This means that our insights are based on empirical data associations and traceable to data artifacts without being subject to author bias, hallucinations, or dependencies on published literature. Each output has a data artifact tied to it so you have access to trusted insights with greater credibility and validity. Additionally, we put each output through a series of adversarial models, verification mechanisms, and multi-step tests to maximize the reliability of our outputs. We also have a suite of tools and agents custom-built for researchers to advance discovery. This approach sets us apart from traditional LLMs and science AI services that are subject to errors that can erode reliability.
What sets Heureka apart from other AI solutions?
Articles in this category
- What features and capabilities does Heureka support?
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- How should I cite Heureka in my work?
- How do credits work?
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