Text Classification and Routing
We categorise text by topic, intent or priority so it can be routed and actioned automatically.
NLP Development Services
NLP Development Services
Trusted across 20+ countries by Fortune 500 companies and growth-stage brands
We build natural language processing systems that read, understand and structure text at scale, from entity extraction and classification to sentiment analysis and document processing. Turn unstructured text into data you can act on. Over a decade of experience, 250+ digital solutions delivered.
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What is NLP development?
NLP development is the building of AI systems that understand and process human language in text. It covers extracting entities, classifying and routing text, detecting sentiment and intent, and pulling structured data out of documents and messages. Where generative AI creates text, NLP is focused on understanding and organising it. Noseberry builds NLP systems trained on your language and domain, integrated into your workflows.
Key takeaways
- NLP understands and structures text, turning unstructured language into usable data.
- Core tasks include extraction, classification, sentiment, intent and document processing.
- It powers search, routing, analytics and automation across large volumes of text.
- Domain tuning matters, since language and terminology vary by industry.
2M+Lives touched
15+Fortune 500 clients
20+Countries served
250+Digital solutions delivered
What we build
Our NLP development services
Named Entity and Information Extraction
We pull people, organisations, amounts, dates and custom entities out of unstructured text.
Sentiment and Intent Analysis
We detect tone, sentiment and intent in reviews, tickets and messages to inform decisions.
Document Processing and Understanding
We extract and structure data from contracts, forms and reports to automate manual work.
Semantic Search and Matching
We build search that understands meaning, not just keywords, across your content.
Summarisation and Extraction
We condense long documents and extract the key points at scale.
Multilingual NLP
We build language understanding across the languages your business operates in.
Where it delivers value
Where NLP delivers value
Support
auto-tagging and routing of tickets and emails.
FinTech and insurance
extracting data from documents and claims.
Legal
contract review and clause extraction.
Retail and e-commerce
review and feedback analysis.
Operations
turning forms and reports into structured data.
How we work
Our five-phase process
We validate extraction or classification accuracy on your real documents in a proof of concept before scaling.
1
Discovery and Audit
We map your data, systems and goals to understand where you stand today.
2
Strategy and Roadmap
We prioritise use cases and hand you a costed, phased plan.
3
Rapid Proof of Concept
We validate extraction or classification accuracy on your real documents.
4
Build and Integrate
We engineer and connect the solution into your production stack.
5
Deploy and Optimize
We ship, monitor and tune, so value compounds after launch.
Technology we use
Frameworks
- spaCy
- Hugging Face Transformers
- PyTorch
- scikit-learn
Models
- Transformer language models
- Domain-tuned classifiers
Search & vector
- Elasticsearch
- Pinecone
- Weaviate
Cloud & MLOps
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
Security and compliance
Text data, handled securely
Text data, including contracts and personal information, is handled securely with encryption, role-based access and audit trails. We build to GDPR, HIPAA and SOC 2, deployed on AWS, Google Cloud and Azure.
GDPRHIPAASOC 2
Real success storiesFinTech · Digital Insurer PropTech · Real-estate marketplace E-Commerce · Retail leader
Outcomes we have driven
Challenge
Claims and policy documents needed slow, manual data entry.
Solution
NLP extraction and classification to pull structured data from documents automatically.
Impact
93% of fraud caught pre-payout, an estimated $4.2M saved annually.
Challenge
Listing and appraisal documents were processed by hand across markets.
Solution
Document understanding and entity extraction to automate intake.
Impact
40% faster property valuations with higher consistency.
Challenge
Customer reviews and feedback went unread at scale.
Solution
Sentiment and intent analysis feeding merchandising and personalization.
Impact
+28% lift in conversion rate.
Sector-anonymised outcomes shown until named clients are approved.
Why Noseberry
Why choose Noseberry for NLP development
Specialist
AI, Cloud and Data is our core, no generalist dilution.
Domain-tuned
Models trained on your language and terminology, not generic text.
Production-first
NLP that integrates with your systems and scales.
Proven at scale
15+ Fortune 500 clients, 250+ solutions across 20+ countries.
NLP development, answered.
NLP focuses on understanding and structuring text, such as extraction and classification. Generative AI focuses on creating text. Many systems use both, and we build both.
Tagging and routing messages, extracting data from documents, analysing sentiment, powering semantic search, and summarising large volumes of text.
Accuracy depends on the task and data. We define a target with you and validate it on your real documents before production.
Yes. We build multilingual NLP tuned to the languages your business operates in.
Yes. Domain tuning is important because terminology varies by sector, and it materially improves accuracy.
Drowning in unstructured text?
Book your free 30-minute AI strategy session and we will scope an NLP proof of concept on your data.
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