Data Intelligence

Why clients call us

The pattern is familiar. A promising AI pilot that does not survive contact with scale. The cause is rarely the model. It is that the data feeding it is stale, duplicated, unlineaged, or simply unreachable without a three-week extract request.

Data Intelligence is our answer, and it is deliberately an engineering offer. We build the ingestion, preparation, enrichment and refresh pipelines that make data AI-ready, we instrument them so you know when they drift, and we govern them so an auditor can follow the chain. We do not position ourselves as a data science practice. We make that work possible, and we are explicit about the line.

What we do

• AI-ready data pipelinesIngestion, cleansing, deduplication, normalisation and enrichment, designed for a stated refresh frequency rather than a one-off extract.
• Retrieval pipelines for assistantsDocument acquisition, chunking, metadata and access-control propagation for retrieval-augmented generation, including the permissions model, which is where most pilots quietly fail.
• Freshness and correctness engineeringExplicit service levels on data age and error rate, measured continuously, because every downstream AI claim inherits both.
• Model and agent observabilityMonitoring input drift, output quality signals and agent actions, closing the loop back to the pipeline that produced the input.
• AI governance enablementDocumentation, lineage and control evidence for AI systems, aligned with the transparency and data governance expectations of the AI Act.