Data engineering
Automated, tested and monitored ingestion. Migration from scattered sources to a governed base on PostgreSQL.
AI on your data, not the world's.
AI without governed data is a demo. The pipeline comes first: ingestion, quality, versioning and audit log. Then AI proposes, a human reviews and the system applies — under the same controls and permissions as manual entry.
In concrete terms
The specific services on this front.
- Data engineering and ETL
- Governed database
- Dashboards and reporting
- Applied AI with LLMs
- AI chatbots
- Semantic search
- AI-assisted data capture
- Supervised machine learning
- Excel-to-platform migration
AI-assisted data entry
AI proposes from the source document, the operator reviews and approves. Every change is versioned and logged.
Semantic search
Understands context and synonyms where the text does not match, and demands an exact match where the business requires it.
Dashboards and analytics
Reporting on the canonical model, with the math in the open and traceable back to the source record.
When it applies
Signals that this is the right front.
- The same information gets captured several times under different criteria.
- Nobody trusts the report because every area brings its own number.
- They want to use AI but the input data still lives in loose files.
What you get
Concrete deliverables.
- Governed base with roles, versioning and a change log
- Monitored ingestion pipelines
- Data quality metrics with a measured baseline
- Documented models and prompts, with reproducible evaluation
Other services
Next step
Bring the problem. We hand back opportunities.
A 60 to 90 minute session with your team, free and without touching your systems: you bring the problem and we come out with the framing and the questions still missing. Then we pick one or two areas and measure them, still with no access to production. Only then is there a proposal with fixed scope and price.
Book a discovery session60–90 min · Free · No commitment
Discovery session
60 to 90 minutes with your team. You bring the problem; we come out with the framing and the questions still open.
Preliminary diagnostic
We pick one or two areas of value and measure them. No production access, no cost.
Formal proposal
Scope, plan and fixed price. With the math in the open and no fine print.