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Identrics
API Framework

Named Entity RecognitionNER API by Identrics

Detect people, organisations, brands and locations across multilingual text.

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Use it standalone, or compose it with any other Kaspian enrichment - sentiment, NER, topics, summarisation, and more - in a single pipeline.Already identifying the actors behind every narrative cluster in Annex.
Kaspian API
Yesterday …
PersonMerkelOrgSiemensLocationBerlin
… met in Europe.
What the API Does

A single API endpoint, production-ready.

The NER API automatically detects and classifies named entities - people, organisations, brands, locations, products - across unstructured text, turning raw content into structured intelligence you can query, route and analyse.

Powered by an award-winning human-in-the-loop pipeline that combines deep-learning models with expert annotation, the API delivers high precision across long and short form content - in 11+ languages.

Common use cases:

  • 01Map every mention of your brand, leadership team and competitors across coverage.
  • 02Power knowledge graphs, entity-based search and recommendation systems.
  • 03Enrich CRM, KYC and compliance workflows with extracted entities.
  • 04Drive fraud detection, transaction monitoring and PEP screening for financial services.
API Capabilities

What you get out of the NER endpoint.

Built and maintained by the Identrics applied AI team. Trained on human-in-the-loop data, benchmarked continuously, and shipped to you as a single, well-documented API.

01

Multilingual extraction

Detect entities across 11+ languages with consistent accuracy and no per-language re-integration.

02

Custom entity types

Train the API on your domain - product SKUs, internal org names, legal references - alongside standard entity classes.

03

Disambiguation

Resolve mentions to canonical entities so 'Apple' the company is never confused with 'apple' the fruit.

04

Production-grade throughput

Process millions of documents per day with predictable latency and consistent quality.

Available languages

Models trained and benchmarked across 11+ languages out of the box. Additional languages on request.

  • English
  • German
  • French
  • Spanish
  • Bulgarian
  • Italian
  • Chinese (traditional)
  • Portuguese
  • Russian
  • Swedish
  • Dutch
How the API Works

From request to enriched response.

  1. 01

    Send text

    POST raw documents, articles or short-form text to the API - one item or a batch.

  2. 02

    Models extract entities

    Our human-in-the-loop trained models identify and classify every entity in the payload.

  3. 03

    Receive structured JSON

    Get back a clean, typed list of entities with offsets, types and optional canonical IDs.

Where It Fits

Industries already running this API in production.

Banks & Financial Services

Automate KYC, risk & compliance and due diligence. We power fraud detection, transaction monitoring and PEP screening for banks and financial institutions - the work that earned our Special Interest Person Finder a Stevie award.

Retail & Consumer Brands

Track mentions of your brand, products and competitors across coverage and reviews. Feed structured entity data into marketing analytics, PR reporting and customer-experience workflows.

Media & Publishing

Tag every article with people, organisations and places automatically. Power related-content recommendations, entity pages and knowledge-graph driven search.

State & Public Sector

Build entity-aware monitoring of public discourse, official records and open-source intelligence at the scale public institutions require.

Combine With

Use it alone. Or stack it with the rest of Kaspian.

Every Kaspian enrichment ships as its own API, and they all share a common contract - so you can call NER on its own today, or chain it with any of the others tomorrow to build a richer pipeline. No extra integration work.

NER API

Ready to plug NER into your stack? Tell us the job; we'll spin up a standalone or composed deployment.

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