We started Neuralcraft to bring production-grade AI systems to teams operating in regulated, high-stakes environments.
Most AI tooling assumes a forgiving environment: low-stakes UX, lots of room to iterate, mistakes that can be patched in a day. The teams we kept hearing from didn’t operate that way.
This is a draft post. Real content coming soon.
Monthly roundup — new eval harness, the launch of policy guards, and three customer go-lives.
Read →Eval is the hardest part of shipping AI in regulated spaces. Here is how we approach it for healthcare and finance customers.
Read →What an auditable AI system actually looks like in production — and the four log streams every team should be writing from day one.
Read →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.
