It's vital to evaluate AI for your scientific R&D needs

Existing industry benchmarks score AI on pure fact retrieval - but high-stakes biomedical R&D needs more than that. To be a credible scientific research partner, AI must be measured on its ability to weave those facts into a coherent, defensible scientific argument – as a human scientist would.

Our 5-Dimensional Benchmarking Framework distils scientific research needs into a scorecard which helps R&D professionals measure which AI systems simply sound plausible, and which are scientifically reliable.
Download the paper to learn more and see the framework in action.

Download the white paper to learn about the 5 dimensions, explore the benchmarking framework, and see the methodology applied to Causaly Deep Research alongside two other popular Deep Research LLMs.

Causaly’s 5-Dimensional Benchmarking Framework

Causaly's 5-Dimensional Benchmarking framework measures AI agent ability to transform accurate facts into well-structured, transparently reasoned, properly cited scientific arguments.

It offers life sciences professionals a rigorous, repeatable standard for evaluating AI that meets the scientific research need.

Download the white paper and see how scientific AI should be measured.