Verisian transforms code and logs into a knowledge graph allowing you to understand every line of code, its content, manipulations and interdependencies. This makes any transformation fully traceable to find all upstream dependencies and downstream effects.

Verisian uses MPRINT statements from SAS logs to resolve any macro invocation and variables to make macros fully traceable and help you debug your analysis based on exactly what was executed. This ensures full traceability with dependencies and downstream effects instantly visible.

You'll be able to understand your study at different levels of abstraction, from how datasets depend on each other across libraries and files to the original code. This facilitates everything from easier onboarding to enhancing the transparency of regulatory reviews.

Verisian offers AI co-pilots that can write and debug code, produce documentation and design analyses. These co-pilots can also be tailor made by training them on company or indication-specific derivations to understand exactly how you analyze clinical trials.

Verisian's AI uses deterministic graph theory-based technology to validate ouputs and establish context for the co-pilot prompts, making the outputs more likely to be specific and correct. They are built using our extensive traceability and code manipulation technology.

Using AI co-pilots to generate code and documentation moves the bottleneck from generation to quality control. That's why we've built a Validator that serves as a quality gatekeeper against which you can develop and makes sure that no hallucinations escape your notice.