AI Research · Quantum Tech · IT Strategy Consulting

Practical AI, quantum technology, and IT strategy consulting

We design and deliver practical AI systems — machine learning, generative AI, retrieval and agent architectures, analytics — and conduct applied research into quantum computing and quantum machine learning.

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Capabilities

Three practices, one engineering standard

Each engagement starts from the problem and the data, not from a platform. What we build is measurable, maintainable, and owned by your team.

AI Solutions & Intelligent Automation

Machine learning, natural language processing, document understanding, and workflow automation applied to real operational problems — with evaluation built in from the start.

Generative AI, RAG & AI Agents

Retrieval-augmented systems, semantic search, tool-using agents, and multi-agent workflows built on large language models, with grounded citations and measurable behaviour.

Data Analytics & Quantum Technology

Forecasting, decision analytics, and optimisation for today — alongside applied research into quantum computing, quantum machine learning, and post-quantum readiness.

How we work

Research discipline, delivery pragmatism

We publish what we learn, benchmark against strong baselines, and refuse to ship systems nobody can verify. That posture is the reason the work holds up after handover.

Evidence first

Every model or system is measured against a baseline before it reaches a user.

Built to hand over

Documented data models, tested boundaries, and no dependence on us to operate.

Honest about frontiers

Clear separation between what is deployable today and what is still research.

Journal

Latest from the blog

Notes on prompting, AI-assisted engineering, and quantum research — written for practitioners.

All articles

AI Prompting

July 24, 2026 · 8 min read

Prompt Architecture: Structuring Context Windows for Reliable Output

Most prompt failures are architecture failures. A practical model for laying out instructions, evidence, and constraints in a long context window.

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Quantum Research

July 21, 2026 · 10 min read

Quantum Machine Learning: Where the Advantage Might Actually Come From

Separating credible quantum machine learning research from marketing: kernels, data-loading bottlenecks, and real hardware limits.

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Coding & Cursor

July 19, 2026 · 8 min read

Cursor at Scale: Rules, Context Files, and Multi-File Refactors

How to configure rules, curate context, and stage large refactors so an AI editor helps instead of thrashing.

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Have a problem worth solving properly?

Tell us what you are trying to achieve. We will tell you plainly whether AI, analytics, or plain engineering is the right instrument.

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