Data Intelligence, Document AI & Applied Analytics

Named Entity Recognition & Text Classification

When a business runs on unstructured text (support tickets, contracts, news mentions, research notes) the first real bottleneck is just knowing what's in each document: which company, which person, which product, which category it belongs to. This service builds custom named-entity recognition and text classification models tuned to your specific entities and categories, not the generic people/places/organizations a stock NLP library recognizes, so you can automatically tag and route text the way your business actually needs it categorized. It's the layer that turns a pile of unstructured text into something you can filter, search, and route without a person manually reading and tagging every item. Clients use it to power automated routing, structured search, and downstream analytics that would otherwise require an army of manual taggers.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

1
Define the exact entity types and categories that matter to your business, and label a representative sample of source text with your team
2
Pilot a custom NER and classification model against that labeled sample, tuned to your specific entities rather than generic off-the-shelf categories
3
Review model errors and edge cases with your team to refine entity definitions and classification boundaries before scaling
4
Deploy the tagging pipeline into your live text flow, wired into routing, search, or downstream systems, with monitoring for accuracy over time

What You Get

Deliverables from this engagement

Custom-trained entity recognition and classification model
Labeled dataset used for training and validation
Integration into your routing, search, or downstream systems
Accuracy benchmarks and ongoing drift monitoring

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Text Sources

Support Tickets
Contract Text

Labeling

Custom Entity Definitions
Business Category Taxonomy
Labeled Sample Set

NER and Classification

Custom NER Model
Text Classification Model
Error Case Review

Output

Tagged and Categorized Text
Routing Rule Engine
Structured Search Index
Downstream Analytics Feed

Cloud-Native / Managed Services Architecture

Managed Ingestion

Text Ingestion API
Managed Streaming Pipeline

Managed NLP Platform

Hosted NER Endpoint
Hosted Classifier Endpoint
Model Registry
Auto Scaling Inference Pool

Cloud Data Layer

Cloud Data Warehouse
Labeled Training Data Store

Delivery Layer

Managed Routing Service
Managed Search Index
Scheduled Retraining Job
Accuracy Drift Monitor

Event-Driven & Automation-First Architecture

Triggers

New Document Event
New Ticket Event

Event Bus and Queues

Event Bus
Tagging Job Queue

Automated Workers

Entity Extraction Worker
Classification Worker
Automated Retry Handler
Routing Category

Automated Actions

Auto Route to Team Queue
Auto Index for Search
Flag Low Confidence for Review
Team Queue Notification

Enterprise-Grade & Compliance-Ready Architecture

Access Control

Enterprise Single Sign On
Role Based Access

Governed Data Pipeline

Text Intake Service
PII and Sensitive Entity Redaction
Immutable Audit Log

Redundant Model Services

Primary NER and Classifier
Standby NER and Classifier
Model Version Registry

Governance

Compliance Review
Data Retention Policy

Delivery

Secure Routing Service
Compliance Report

AI-Augmented, Human-in-the-Loop Architecture

Inputs

Raw Business Text
Custom Entity and Category Definitions

AI Tagging

AI Entity Recognition Model
AI Text Classification Model
Tagging Confidence Score

Human Review Gate

Ambiguous Entity or Category
Human Annotator Review
Refine Entity Definition
Accuracy Benchmark Log

Delivered Output

Approved Tagged Record
Routing or Search System
Drift Alert

Integration-Heavy / Ecosystem-Connected Architecture

Client Systems

CRM System
Helpdesk Platform
Contract Repository
News and Research Feeds

Integration Layer

Multi Source Connector
Entity Schema Mapper

Tagging Core

Entity Recognition Model
Classification Model

Downstream Systems

Automated Routing Engine
Enterprise Search Platform
Analytics Warehouse
Team Alert Channel

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Named Entity Recognition & Text Classification

Most engagements like this start as a $500–$2,500 pilot, see full pricing.