Named entity recognition (NER)

Purpose

Named entity recognition (NER) identifies and extracts key entities from documents, including equipment names, model numbers, certifications, standards, and regulatory references.

Primary users

The primary user is not specified. The agent is associated with the RES team/BU and owned by Sébastien Grandperret.

Where it fits (process/stage/trigger)

This agent fits into document analysis workflows where real estate-related documents need to be reviewed for important technical, certification, standards, or regulatory references.

Key capabilities / workflow

The agent analyzes documents, extracts named entities such as equipment names, model numbers, certifications, standards, and regulatory references, and provides the resulting entity information for downstream review or use.

Inputs

Inputs are not specified beyond documents referenced in the use case. Please refer to documentation for supported document formats, required fields, and ingestion methods.

Outputs / Deliverables

Outputs are not specified beyond extracted key entities from documents. Please refer to documentation for the exact output format, export options, and integration details.

Value

The agent helps accelerate document review by surfacing important entities from real estate documents, reducing manual search effort and supporting more consistent identification of technical and regulatory information.