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Data · Entity Resolution

Fragmented data in.
Trusted insight out.

Vector extracts, resolves, links and enriches entities across structured and unstructured data - automatically processing tens of thousands of records from any source into a single trusted view.

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◈ 48,200 records this run
Unification run
Unification run Complete
Completeness
96%
▲ from 57%
Duplicates
6,914
▲ resolved
Sources
14
▲ active
Field completeness - before vs after

What Vector does

Any data, any source - one trusted view

  • Entity extraction across structured and unstructured data - documents, PDFs, spreadsheets, systems.
  • Knowledge-graph construction, reasoning and cross-source correlation and inference.
  • Data aggregation: ingest, unify and de-duplicate multi-source data at scale.
  • Schema normalisation with standardised models, taxonomy and ontologies.
  • Confidence-scored matching with human review for anything below policy threshold.

Proven in the field

Across a range of data science and multi-agent projects, this approach has delivered results like 96% dataset completeness from fragmented, multi-source data and a 660% increase in processing efficiency - for clients we can't name, but results we stand behind.

See the threat intelligence use case