XYPHORS builds software, data platforms and applied AI for organisations whose problems have outgrown off-the-shelf tools. We find the two axes that actually explain the system — then engineer against them.
X — structure, systems, measurement
Y — meaning, interpretation, judgement
XY + PHORS — both, deliberately
- 01 — Complexity
- 02 — Raw data
- 03 — Structure
- 04 — Connections
- 05 — Intelligence
- 06 — Clarity
One set of points, re-read six times. Nothing is added.
Four practices.One structure.
The field organises itself around these four
Software Engineering
Web applications, APIs and integrations designed around the domain rather than the framework. Architecture, tests and readability are delivery requirements, because the second year of a system costs more than the first.
AI & Automation
Retrieval over your own documents, extraction from messy inputs, assistants scoped to a real workflow. Every deployment ships with an evaluation set, so quality is a number you can watch rather than a feeling.
Data & Analytics
Pipelines, warehouse modelling and reporting that reconcile. We start from the decisions a team needs to make, work backwards to the metrics, and only then to the tables.
Cloud & DevOps
Reproducible environments, pipelines that deploy without ceremony, observability from day one, and a cost profile you can forecast. Boring infrastructure is the goal.
Connections becomeinference you can check.
An AI feature that cannot be evaluated is a liability with a friendly interface. We build the retrieval, the test set and the review path together — and we tell you where the model is weak.
Above — the same points, now inferring. Three routes are being evaluated.
Retrieval
Answers grounded in your own documents and records, with the source attached.
Evaluation
A scored test set per use case, so changing a prompt or a model is a measured change.
Automation
The workflow around the model — approvals, exceptions, audit trail — designed, not assumed.
One signal, fivestable states.
Each station has a defined output. You always know what you are receiving next, and what it will be measured against.
- 01
Discover
Interviews, systems walkthroughs and a written account of how the work happens today — including the parts nobody documents.
- 02
Define
Architecture, sequencing and the definition of done. If a requirement cannot be evaluated, it gets rewritten until it can.
- 03
Design
Screens and schemas move as one artefact, so the product a user sees matches the system underneath it.
- 04
Develop
Short cycles, reviewed code, automated tests, and a running environment you can open at any point in the build.
- 05
Deploy
Release path, monitoring and handover prepared before launch — not retrofitted after it.
- L1Product
- What people touch.
- TypeScriptReactNext.jsDesign systemsAccessibility
- L2Intelligence
- What reasons over it.
- LLM applicationsRetrievalEvaluationAutomation
- L3Data
- What it all means.
- PostgreSQLWarehousingELTAnalytics modelling
- L4Infrastructure
- What holds it up.
- AzureAWSContainersIaCCI/CDObservability
What we hold to,written down.
Every point in the field behind this page stands for something real. That is the standard the work is held to as well: if a number cannot be traced back to a source, it does not ship.
- H1
Understand before building
The first deliverable is a clear account of the problem. Most failed projects were built correctly against the wrong description.
- H2
Engineering quality is not a phase
Tests, review and readable structure are part of shipping. They are what keeps the fifth change as cheap as the first.
- H3
Solve the real problem
Sometimes the answer is a smaller system, a removed step, or a report nobody asked for. We say so.
- H4
Design for the next order of magnitude
Not for imaginary scale — for the growth the business is actually planning, with a clear path beyond it.
- H5
Measurable outcomes
Every engagement defines what would count as success, in numbers, before the build starts.
Have something complexin mind? Let’s make it clear.
Send the version that is still a mess. We will come back with the two axes we think explain it, and what we would build against them.
