AI Services / Natural Language Processing

NLP that actually understands your domain

We build NLP systems that read, classify, summarize, and reason over your text — tuned to the jargon, edge cases, and domain vocabulary that generic models miss. From custom classifiers to large-scale document processing pipelines.

98%+
Custom classifier accuracy
50K
Docs processed / hour
30+
Languages supported
<250ms
Inference latency

Why Empiryx

Why our NLP pipelines beat raw LLM prompting

Domain-tuned tokenizers, embeddings, and classifiers for your vocabulary
Document-aware pipelines — tables, forms, contracts — not just plain prose
Multilingual NLP with native coverage of Marathi, Hindi, Tamil, and global CX
Entity recognition, relation extraction, and structured output for downstream
Custom LLM fine-tuning when prompting alone leaves gaps
Human-in-the-loop labeling workflows to bootstrap and verify

Expertise

What we build

01

Classification

Document, ticket, and intent classifiers tuned to your taxonomy.

02

Entity extraction

Pull structured entities from contracts, forms, and unstructured text.

03

Summarization

Summaries tuned to your output bar — concise, faithful, on-template.

04

Translation & localization

Domain-aware translation that doesn't break technical terms or legal phrasing.

Expertise

Roles & capabilities we specialise in

A deeper look at the specialists we place and the work they ship.

Custom tokenizers

Add domain tokens so models read your terms as units, not fragments.

Domain embeddings

Fine-tuned retrievers and classifiers tuned to your corpus.

Doc structure

Layout-aware parsers for PDFs, forms, tables, scanned docs.

Labeling loops

Active learning + human review built into the loop, not bolted on.

Multilingual

Native coverage for global CX and Indian regional languages.

Drift monitoring

Pipeline performance tracked over time; retraining triggered on drift.

Industries we serve

Built for high-stakes sectors

Domain-aware engineers who understand your sector's constraints — not just the syntax.

Legal

Contract and case law analysis

Healthcare

Clinical record processing within approved scope

FinTech

Document classification and compliance

Support

Intent, sentiment, and topic mining

FAQ

Answers to common questions

Process

How it works

01

Corpus study

We study your docs — vocabulary, structure, edge cases — before any model choices.

02

Pipeline MVP

We ship a working pipeline on a sample slice — labels out, citations in — in 2–4 weeks.

03

Tune & eval

We fine-tune against your golden set and run continuous eval as coverage scales.

04

Operate

We run pipelines in production with monitoring, drift detection, and retraining cadence.

Get started

NLP that reads your domain like an insider

Bring your corpus. We'll bring the tokenizers, the embedders, and the evals.

Let's talk

Tell us what you're building

Share your engineering goals and the Empiryx team will respond within 24 hours with a tailored path forward.