Engineering · Data platforms
Data that agrees with itself, wherever it is used.
Connect the systems that hold your data, agree what each figure means, and trace every reported value back to its source.
- 01ConsultWe study the problem, the systems and the rules, and agree what success means.Assessment and scope
- 02DesignArchitecture, data model and interfaces, reviewed with your team before anything is built.Architecture and prototypes
- 03BuildSoftware, AI and data work in increments you can test, with security in from the first one.Accepted releases
- 04DeployInto your cloud, ours or your own servers, with monitoring, backups and a way back.A live, monitored system
- 05TrainA pilot with real users first, then hands-on training on the real system and their real tasks.People who use it from day one
- 06OperateSupport, maintenance and improvement from the people who built it, or a clean handover.Support or handover
- For
- Data owners, finance and operations leads, IT teams
- Sectors
- Public sector, SMEs, Transport and operations
- Languages
- Greek and English
- Starts with
- A written scope
When to call us
Organisations usually come to us when…
- Reports assembled by hand, with figures that disagree
- Analytics or AI blocked by unreliable data
- An auditor asks where a figure came from
- Data shared between departments without clear rules
Deliverables
What you receive.
- 01Data mapSources, owners, flows and gaps.
- 02Shared definitionsAgreed with the people who own them.
- 03Tested pipelinesAutomated, monitored, replacing manual exports.
- 04Lineage and auditEvery value traceable; every access recorded.
- 05ReportsAnswers to the questions you ask every month.
Working together
How it runs.
- 1What we need from youOwners for the main data sourcesAccess to systems and documentationToday's figure definitions
- 2How decisions workA failing quality check stops the load and alerts the owner, rather than publishing a wrong figure.
- 3After deliveryWe operate the platform, or hand it over with documentation and training.
Technologies we use most
- PostgreSQL · PostGIS
- Elasticsearch
- Kafka
- MinIO
- Python data tooling
Related
Services that go with it.
- ServiceSoftware engineeringCustom applications, integrated information systems, ERP and CRM, designed, built and maintained.
- ServiceAI engineeringAI assistants, document intelligence and machine learning built into your systems, evaluated and monitored.
- ServiceIT consultingTechnology strategy, architecture review, modernisation plans and tender specifications.
Tell us about the problem you need solved.
A short description is enough. We reply by email.