Skip to content
XYPHORS
A — Services4 practices · B1–B4

Four practices.One structure.

Most problems that reach us are not one discipline deep. A reporting problem turns out to be a data model problem; an AI feature turns out to be a workflow problem. We keep all four practices in-house so the answer is not shaped by which supplier you asked.

Start a conversationSee the work
X
StructureSystems, pipelines, environments, tests.
Y
MeaningWhat it is for, and how you will know it worked.
B — PracticesStructure — 4 clusters
B101

Software Engineering

Web applications, APIs and platforms designed around your domain rather than around a framework. The architecture is as much of a deliverable as the screens are, because the cost of a system is set by how easily its fifth change can be made — not its first.

Software Engineering in detail

Stages
  1. 01

    Architecture

    the shape of the system

  2. 02

    Modules

    one responsibility each

  3. 03

    Systems

    what already exists

  4. 04

    APIs

    the contract between them

  5. 05

    Platforms

    what people use

B202

AI & Automation

Retrieval over your own material, extraction from inputs that were never structured, assistants scoped to one real workflow. Every deployment ships with an evaluation set, so quality is a number you can watch instead of an impression you defend.

AI & Automation in detail

Stages
  1. 01

    Inputs

    documents, records, requests

  2. 02

    Orchestration

    retrieve, route, call

  3. 03

    Reasoning

    the model's step

  4. 04

    Automation

    the action taken

  5. 05

    Evaluation

    scored against a test set

B303

Data & Analytics

Pipelines, warehouse modelling and reporting that reconcile. We start from the decisions a team needs to make, work backwards to the metrics that inform them, and only then to the tables underneath.

Data & Analytics in detail

Stages
  1. 01

    Ingestion

    sources, as they are

  2. 02

    Pipelines

    scheduled, observable

  3. 03

    Transformation

    tested, versioned

  4. 04

    Models

    entities and metrics

  5. 05

    Insight

    a decision someone makes

B404

Cloud & DevOps

Reproducible environments, a release path that runs without ceremony, observability from the first deploy, and a cost profile you can forecast. Infrastructure treated as a product with an owner, rather than a pile of consoles.

Cloud & DevOps in detail

Stages
  1. 01

    Environments

    identical by construction

  2. 02

    Deployment

    one path, automated

  3. 03

    Infrastructure

    declared, reviewed

  4. 04

    Observability

    logs, metrics, traces

  5. 05

    Scaling

    planned, costed

C — MethodDiscover → Deploy

The same method, whichever practice you start in.

An engagement does not change shape because the work is data rather than software. Five stations, each with a defined output, and a written definition of done before the build starts.

  1. 01

    Discover

    Understand the domain before proposing anything.

  2. 02

    Define

    Turn findings into scope with measurable success criteria.

  3. 03

    Design

    Interface and data model designed together.

  4. 04

    Develop

    Working software at the end of every increment.

  5. 05

    Deploy

    Ship, observe, and keep improving.

D — Contact06 Clarity · resolved

Not sure which of the fouryour problem is?

Most are more than one. Describe the situation and we will tell you where we would start, and what the first two weeks would produce.

Start a conversationHow we think