What we've built
Deployable Architecture Patterns
Proven architectures we've built and deployed. Each can be customised for your infrastructure, compliance requirements, and team.
On-Premise PII Detection
Problem
Your AI workflows process prompts containing patient names, credit card numbers, and SSNs. Under GDPR, sending that data to a cloud LLM is the compliance event — regardless of what the provider does with it.
Outcome
Sensitive data is detected and redacted before it leaves your network. 98%+ accuracy. Runs entirely on your infrastructure — no cloud costs, no GPU required, every decision auditable.
Domain & Stack
Healthcare, Finance, Telecom
Private Document Intelligence
Problem
You need AI-powered document search, tagging, and classification — but your documents can't leave your network. Existing systems search well but don't understand content.
Outcome
Intelligent document retrieval and classification running entirely on your infrastructure. Works with your existing document stores. Air-gapped capable.
Domain & Stack
Legal, Insurance, Enterprise ops
Enterprise Knowledge Retrieval
Problem
Internal knowledge is scattered across wikis, documents, Slack, and email. Teams waste time searching. Generic chatbots hallucinate because they lack your context.
Outcome
An internal knowledge assistant that finds real answers from your existing systems. Search-first architecture — grounded responses, no hallucination on factual queries.
Domain & Stack
Any knowledge-heavy organisation
Neurelay
AI agent governance platform. Control which agents use which tools, with what permissions, under whose authority. Every tool call auditable.
Visit neurelay.ai ↗Need something different?
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