Neuralcraft builds AI for environments where a wrong or undefendable output isn't just a bad user experience — it's a compliance event. This brief summarises the principles and controls behind that work. For a deeper review, request the full brief and we'll walk your security team through it under NDA.
How we think about trust
Your data stays in your perimeter
We deploy inside your VPC or on-premise environment. Your data and prompts are processed where they already live — no tokens are sent to a public model API, and nothing leaves your boundary without your say-so.
Every decision is traceable
Each agent action, retrieval, and model output links back to the exact source and context behind it. “Why did the system do that?” is one click, with an immutable record — not a three-week investigation.
Explainable by default
Explainability is attached to every prediction, not bolted on as a separate dashboard. Outputs ship with the evidence and reasoning a reviewer or regulator needs to defend them.
Continuously evaluated
Offline evals gate every change before it ships, and online evals watch live traffic for drift, bias, and anomalies — so problems surface to your team before they reach a customer or an auditor.
Access is bounded and audited
Permissions are enforced per agent and per end-user, down to the row and column where it matters. Access is least-privilege by default and logged end to end.
Human-in-the-loop where it counts
High-stakes and ambiguous cases route to a human checkpoint. Automation handles the routine; people stay in control of the consequential.
Standards we align to
Our practices are designed to map onto the frameworks our clients are held to. We meet reviewers where their obligations already live.
- SOC 2 Type II
- HIPAA-aligned
- ISO 27001
- GDPR
- CCPA
- NIST AI RMF