Pipeline engineering
Regular, reliable, observable data flow from source systems. Failed runs raise alerts rather than passing quietly.
Software & Infrastructure
Data & Automation
We consolidate scattered data, make it trustworthy and shape it into something decisions can rest on. With an LLM layer on top, you ask your data a question instead of waiting for a report.
What you get out of it
- One source of truth — the cross-department argument about numbers ends
- The days spent assembling spreadsheets disappear
- Question to answer in minutes
Python
SQL
PostgreSQL
Airflow
dbt
Power BI
Metabase
Pandas
Redis
WHAT'S INCLUDED
What this service covers
Data quality
De-duplication, validation rules, missing-data detection and lineage. Trusting the number in the report starts here.
Dashboards & reporting
The summary an executive looks at and the detail an analyst drills into come from the same data. Scheduled report distribution included.
Natural-language querying
Ask something like "which product was returned most in Q3 in the north region?" directly, and get a reliable answer with its source.
Process automation
Cross-system data transfer, scheduled jobs, conditional alerts and approval flows.
PROCESS
How we run it
01
Data inventory
Sources, formats and refresh frequencies are mapped.
02
Model & pipeline
The data model is designed, pipelines are built and monitoring is attached.
03
Visualisation
Dashboards are built and the team is trained to use them.
RELATED SERVICES
Software Development
Bespoke enterprise software with AI built in
Web & Mobile Applications
Fast, accessible, search-friendly interfaces
Data Collection & Web Scraping
Structured, continuously refreshed data from public sources
Let's talk about where AI fits in your business.
In a short call we listen, then tell you plainly which approaches fit your situation and which do not. We reply within 24 hours.