Papers & Deep Dives

White Papers

What an on-premise AI system actually is, what each design decision costs, and what it still fails at. Every summary is open in full; the papers behind them are downloadable.

Technical paperArchitecture

Multi-agent architecture for unstructured business data

Every layer of a business-data AI system answers a way business data breaks. What each one is for, what it costs, and what it still fails at.

~5 min summary · ~19 min paperRead the paper

Technical paperArchitecture

The anatomy of an on-premise AI deployment

Where the model lives, how your documents reach it, and what breaks. The hard part is not the hardware — it is mirroring your permissions into the index.

~5 min summary · ~18 min paperRead the paper

Technical paperArchitecture

Intelligence over your data, not over the internet

Why the constraint is structural, and what it means for architecture and cost.

~5 min summaryRead the paper

Technical paperArchitecture

Operational alpha: the advantage you own

The compounding advantage of an AI system that knows your organisation — and why it should accumulate on your side of the wire.

~6 min readRead the paper

Technical paperArchitecture

Frontier vs grounded: the wrong axis

For grounded work, what the system has read beats how large the model is. The honest version of "why not just use Claude or GPT?"

~6 min readRead the paper

Technical paperArchitecture

Three ways to deploy enterprise AI

Rent it, split it, or own it — the three deployment approaches compared, with every cost figure carrying its volume.

~6 min readRead the paper

Sector paperEnterprise

Enterprise AI: Llama, DeepSeek, and Qwen - The Open-Source Revolution 2025

Open-weight models turned enterprise AI from a subscription decision into an ownership decision. The cost curve, the sovereignty argument, the model landscape, and the honest volume floor below which cloud APIs win.

7 minRead the paper

Sector paperEnterprise AI

Why Open-Source LLMs Like Ollama Are the Future of Enterprise AI

Ollama is the fastest honest way to evaluate open-weight models in your organisation — and past a certain point, the wrong tool to stay on. Where that point sits, and what comes after it.

5 minRead the paper

Sector paperHealthcare

Privacy-First AI: HIPAA-Ready On-Premise LLM Deployment for Healthcare 2025

Why HIPAA compliance and modern AI stop being a trade-off when the model runs on infrastructure you own — the safeguards mapped, the deployment described, and the economics framed honestly.

9 minRead the paper

Sector paperManufacturing

AI-Powered Predictive Maintenance & Quality Control for Manufacturing 2025

A practical guide to predictive maintenance: the sensor layer, the data pipeline, the models, vision-based quality control, and a 90-day pilot path — with the value arithmetic framed on your numbers, not ours.

8 minRead the paper

Sector paperFinance

Secure AI for Financial Services: Fraud Detection & Risk Management 2025

Fraud detection, credit assessment, and AML triage on infrastructure the institution owns — the detection architecture, the explainability requirement, and residency answered structurally rather than contractually.

7 minRead the paper

Sector paperEducation

Intelligent Education Systems: AI-Powered Personalized Learning 2025

What AI actually changes for students, teachers, and administrators — always-available tutoring, adaptive paths, calibrated AI-assisted grading — and flat institutional pricing that doesn’t punish growth.

5 minRead the paper

Sector paperGovernment

Government AI: Document Processing & Citizen Services Automation 2025

Citizen services are document pipelines, and document pipelines are automatable with AI that never leaves government data centres — extraction, verification, and citizen-facing assistance under full sovereignty.

5 minRead the paper

Sector paperRetail

Retail AI: Demand Forecasting & Customer Insights 2025

Demand forecasting, personalisation, and dynamic pricing on one owned data foundation — with back-tests and A/B evidence as the business case, not brochure percentages.

6 minRead the paper

More papers are in review and will appear here as they clear.