AI INFRA

01 — The Compliance Trap

Knowledge you cannot retrieve is leverage you do not have

Corporate intelligence is trapped in PDFs, SQL dumps, archived SharePoint, and decades of contracts. Manual retrieval costs high-value hours. Public LLMs offer a shortcut — and a data exfiltration risk that regulated sectors cannot accept.

Vector 01

IP Exfiltration

Every prompt into a public model is a disclosure. Enterprise tiers promise “no training” — and log every query anyway. Your operational context becomes someone else's fine-tune corpus.

Vector 02

Retrieval Debt

Fifteen years of contracts. Twelve thousand scanned PDFs. A SharePoint your lawyers cannot search. The signal is there. The retrieval architecture is not.

Vector 03

Regulatory Drift

EU AI Act. DORA. FCA SYSC. The compliance perimeter tightens quarterly. Third-party model calls that were fine in 2024 are audit findings in 2026.

Vector 04

Vendor Lock-In

Hosted vector DBs, hosted embedding APIs, hosted inference — every dependency is a counterparty. Sovereign infrastructure means the model, the embeddings, and the index all live on your metal.

$ moai-infra audit --stack=enterprise-rag
[WARN] Embedding provider: OpenAI (US), logs retained 30d
[WARN] Vector DB: Pinecone (managed), cross-border replication
[CRIT] Query logs: 100% observable to vendor
[CRIT] Data residency: cannot guarantee EU-only
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[RESULT] Sovereign readiness: NONE. Regulatory posture: FAILING

02 — The Stack

Moai Core Architecture

A self-contained intelligence unit deployed on your infrastructure. Ingestion pipelines, vector database, embedding model, and inference engine — all on your metal, under your keys, inside your perimeter.

Layer 01

Secure Ingestion

Automated pipelines for PDF (OCR), SQL, SharePoint, email archives. Context-aware chunking preserves document hierarchy. Forensic provenance on every chunk.

Layer 02

Forensic Retrieval

Rust-native vector search. Every response carries direct citations to source document + page. Hybrid BM25 + dense retrieval. Re-rank with a local cross-encoder.

Layer 03

Air-Gap Ready

Zero-trust deployment. No outbound calls. Local embedding model, local LLM inference, local vector DB. Runs without internet access on your compute.

Layer 04

Audit Surface

Every query, every citation, every retrieval hit logged to tamper-evident storage. FCA / DORA / EU-AI-Act compliant by construction, not by promise.

03 — The Architect

Engineered by the hands that held the nuclear options at Credit Suisse

AI INFRA is delivered by Christopher Ridley — formerly Credit Suisse Crisis Engineering, GE Aerospace, British Airways, and European Space Agency. Production systems that survived regulatory stress tests, aviation safety audits, and a bank collapse. The same engineering discipline, applied to your data.

04 — Architecture Sprint

Request a briefing

A fully operational proof-of-concept delivered in 14 days. Fixed cost. Clear deliverables.

Phase 1: Data & Security Audit
Phase 2: Pipeline Configuration
Phase 3: Handover & Documentation

All communications are encrypted. No data is stored on third-party servers beyond form delivery.