Nodal lets more people use the AI agents your company already chose while your data team keeps control. Catch answer drift before it reaches a board deck, preserve evidence for every result, and change models without rebuilding your source of truth.
Nodal turns AI analytics from a collection of unreviewed conversations into a system your data team can operate.
Regression-test business questions whenever definitions, dbt models, prompts, or agents change. Surface drift while it is still reviewable—not after it reaches a customer, regulator, or board.
Observe what people ask, which context each answer used, and where validated coverage is thin. Your analysts can focus review on the questions that actually need judgment.
Benchmark Claude, Codex, Gemini, or the next model against the same governed evaluation set. Keep leverage over vendors without requalifying your business logic from scratch.
More trusted self-service Fewer silent failures Less model lock-in
Clear boundaries for data, permissions, deployment, ownership, and change management.
Need hands-on implementation support? We scope it with your team and, where useful, an implementation partner. Discuss your requirements →
Begin with the questions your business already depends on. Establish what “right” means, benchmark the agents you use, and keep that standard running as the stack changes.
Start with a business workflow where answer quality matters and the responsible data owners are known.
Turn high-value business questions, approved definitions, and known-good results into a reviewable baseline.
Measure current agents and models against the same standard before expanding access or changing providers.
Feed real usage back into the suite, rerun it on every change, and add domains only after the evaluation evidence supports expansion.