Evaluating LLMs in regulated environments
A draft note on how we structure offline and online evaluation pipelines for customers in regulated industries.
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Evaluating LLMs in regulated environments
Eval is the hardest part of shipping AI in regulated spaces. Here is how we approach it for healthcare and finance customers.
More from the desk.
What's new at Neuralcraft: April 2026
Monthly roundup — new eval harness, the launch of policy guards, and three customer go-lives.
Read →Why we built Neuralcraft
We started Neuralcraft to bring production-grade AI systems to teams operating in regulated, high-stakes environments.
Read →Audit trails for AI systems
What an auditable AI system actually looks like in production — and the four log streams every team should be writing from day one.
Read →Join the frontier
Careers at Neuralcraft
We're hiring engineers and researchers who want to ship into regulated work — where the eval is the bar, the audit trail is the deliverable, and the model is the easier half.