Elicit Built Programming Language to Make AI Reasoning Trustworthy at Scale

What was said

"We decided to design our own programming language to solve this problem so that the models could run reasoning computation, rely, like, be able to call these, like, reasoning primitives at scale in a more trustworthy way. And what we were trying to accomplish for our end users was the ability to say, you can run this process with the model over 10,000 objects, 10,000 documents, 10,000 drugs, 10,000 targets, genes, whatever. And the same process will be applied to number 5 as number 9,999."

Elicit designed a domain-specific language to ensure AI systems apply identical reasoning processes across thousands of documents or drugs. This addresses a critical problem where AI models claim to perform systematic analysis but actually vary their approach unpredictably. The company works with 7 of the top 20 life sciences companies using this infrastructure for drug development decisions.