Understand Text At Any Scale
NLP models that extract meaning, intent, and insight from any text — from customer emails and support tickets to contracts and social media — at millions of documents per hour.

Built to perform at scale
What Our NLP Can Do
Text Classification
Categorise documents, emails, and tickets by topic, intent, urgency, or any custom taxonomy.

Built for Every Industry
See how businesses use our nlp to solve real problems.
Challenge
Claims adjusters manually reading thousands of incident reports
Outcome
NLP extracts key facts, classifies claim type, and flags fraud indicators automatically
Challenge
Content team manually tagging thousands of articles for search
Outcome
Automated tagging with topic, entity, and sentiment labels applied at publication
Challenge
Recruiters screening hundreds of CVs manually per role
Outcome
NLP ranks candidates by skill match, experience, and role fit in seconds
From zero to running in four steps
No complex setup. No long onboarding. Just connect and go.

Task Definition
Define the NLP task precisely — classification labels, entity types, output format — with clear evaluation criteria.

Data Preparation
Clean, annotate, and split your text data. We handle annotation tooling and quality control.

Model Training
Fine-tune transformer models on your data with cross-validation and performance benchmarking.

API Deployment
Deploy as a scalable microservice with REST API, batch processing, and real-time streaming support.
Connects with your stack
Every solution plugs into the tools you already use — no rip-and-replace required.
Hugging Face
Model Hub
spaCy
NLP Library
BERT
Base Model
PyTorch
Deep Learning
LangChain
Orchestration
Elasticsearch
Text Search
FastAPI
API Layer
Apache Kafka
Streaming
Python
Language
AWS
Infrastructure
Hugging Face
Model Hub
spaCy
NLP Library
BERT
Base Model
PyTorch
Deep Learning
LangChain
Orchestration
Elasticsearch
Text Search
FastAPI
API Layer
Apache Kafka
Streaming
Python
Language
AWS
Infrastructure
NLP questions
Common questions about our nlp solution.
Classification, entity extraction, sentiment analysis, summarisation, translation, question answering, intent detection, and more.
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