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Make unstructured text easier to process.
Develop workflows that classify, extract and organize text according to your business rules. Review language coverage, ambiguity and privacy constraints before selecting the approach.
★★★★★5.0· 57 client reviews
Overview
Natural Language Processing, explained
Natural language processing turns text and speech into structured information: categories, entities, sentiment, summaries or transcripts. It helps teams handle large volumes of emails, tickets, notes, reviews or recordings that nobody has time to read one by one.
Our NLP experience includes a note-taking product that uses machine learning to parse natural language and a dictation app that records and transcribes speech. Today we combine classic NLP techniques with language models to get accurate, cost-effective results.
Before you build
Decisions worth settling first
Settling these points early keeps scope realistic and makes the estimate meaningful.
01
Text sources
Identify the documents, messages or recordings to process and their volume.
02
Output structure
Define the categories, fields or summaries you need.
03
Languages
List the languages and dialects that must be supported.
04
Accuracy needs
Agree acceptable error rates and review steps.
05
Privacy
Decide how personal data in text is handled and stored.
06
Integration
Choose where results go: CRM, helpdesk, database or dashboard.
Services
What our natural language processing services include
Text classification
Route and tag emails, tickets and documents automatically.
Entity extraction
Pull names, dates, amounts and other fields from free text.
Sentiment and topic analysis
Understand themes and sentiment in reviews and feedback.
Summarisation
Condense long documents, threads and transcripts.
Speech to text
Transcribe calls, dictations and meetings with speaker labels.
Multilingual processing
Translate and process content across languages.
How it is built
The layers behind a dependable result
Every layer has an owner, tests and documentation, so the system can be supported after launch.
01
Ingestion
Collecting text and audio from source systems.
02
Processing
Cleaning, language detection and model-based analysis.
03
Validation
Confidence scores and review for uncertain items.
04
Delivery
Writing results to your systems and dashboards.
Use cases
Where it helps
Customer support
Ticket routing, priority detection and summaries.
Healthcare administration
Dictation transcription for documentation workflows, with review.
Productivity apps
Natural language note parsing and smart organisation.
Market research
Theme and sentiment analysis of reviews and surveys.
Legal and compliance
Clause and obligation extraction from contracts.
Media
Transcription, tagging and searchable archives.
Illustrative use case
An incoming message can be categorized and routed with extracted fields presented for an operator to check.
From our portfolio
Note Taking & Storing
A note-taking system that uses machine learning to parse natural language.
FlutterRuby on RailsReactJSGoogle CloudML & NLP
Why PoliteTech
Why teams choose PoliteTech
Scope before commitment
Priorities, assumptions and acceptance criteria are agreed in writing before a delivery plan is fixed.
Engineers who build
Recommendations come from the people who design, code and support the software, so they reflect real implementation effort.
Visible progress
A shared backlog, regular demos and recorded decisions keep you informed without chasing updates.
Practical AI
Evaluation sets, review steps, cost limits and monitoring are part of every AI feature we ship.
Flexible engagement
Start with a scoped project, a dedicated team or support, and change the model as your roadmap evolves.
Clear ownership
Repositories and accounts can live in your organisation, with IP and confidentiality terms agreed in the contract.
Industries
Where this work fits
Retail and Ecommerce
Build web and mobile journeys around product discovery, ordering and customer service.
Financial Software
Support reporting, document processing and internal operations through defined application workflows.
Logistics Software
Connect planning, task assignment and operational updates in one workflow.
Education and Elearning
Create platforms for content, activities and progress tracking.
Fitness and Wellness Apps
Support tracking, coaching content and user engagement around a clear product goal.
Manufacturing Software
Replace fragmented tracking with workflows for quotations, work status and supporting documents.
Real Estate Applications
Create listing, enquiry and internal coordination tools around your business process.
Business Operations
Build task, approval and reporting tools around the way your team works.
Process
A practical path from requirements to release.
Each stage ends with something you can review: a scope, a prototype, a working increment or a release.
01
Understand
Discuss your users, business needs, existing systems and delivery constraints.
02
Define
Agree scope, technical approach, responsibilities and a delivery plan.
03
Design and build
Develop in manageable increments with visible progress and review points.
04
Test and release
Validate agreed workflows, resolve release blockers and prepare deployment.
05
Support and improve
Document the handover, review production feedback and plan the next priorities.
Technology
Tools and platforms we work with
PythonspaCyHugging Face TransformersOpenAIWhisperGoogle Speech-to-TextAWS TranscribeNLTKElasticsearchFastAPINode.jsRuby on RailsFlutterReact
Cost
What shapes the cost of your project?
There is no useful price without scope. These are the factors we review when preparing an estimate, and the estimate lists every assumption so you can see what would change it.
01
Number of workflows
Each workflow needs its own prompts, tools, evaluation set and review design.
02
Data preparation
Cleaning, labelling, chunking and access rules often take more effort than the model itself.
03
Integrations
Connections to CRMs, ERPs, document stores and identity providers add design and testing work.
04
Evaluation and review
Building test sets, review queues and monitoring is essential for reliable results.
05
Model and hosting
Hosted APIs, open models and private deployment have very different setup and running costs.
06
Security and compliance
Sensitive data, audit needs and data residency add controls and documentation.
Engagement models
Choose the engagement that fits your next step.
Dedicated Team
For a changing roadmap or ongoing development. Agree roles and working process, then manage priorities through a shared backlog.
Best for team extension and long-term product work.
Scoped Project
For a defined product or milestone. Align on requirements, deliverables and acceptance criteria, with changes reviewed before they affect the plan.
Best for MVPs, integrations and focused releases.
Maintenance and Improvement
For software that already exists. Start with a technical review, then agree support routines and planned improvements.
Best for live applications and modernisation.
FAQ
Questions about natural language processing
Do you use language models or classic NLP?
Both. Classic models are fast and cheap for well-defined tasks; language models handle nuance and new categories. We combine them as needed.
Can it transcribe audio?
Yes. Our portfolio includes a dictation and transcription app, and we use speech models such as Whisper and cloud speech APIs.
Which languages are supported?
Most major languages, including English and Vietnamese. We test accuracy for each required language.
How accurate is extraction?
It depends on text consistency. We measure accuracy on your samples and add review for low-confidence results.
Can it run on our servers?
Yes, with open models deployed in your environment.
How do results reach our team?
Through integrations with your CRM, helpdesk or database, or a dashboard we build.
Can we begin with a focused scope?
Yes. We can review your current situation and agree a bounded first engagement before a wider build.
How are pricing and timelines determined?
We review requirements, technical complexity, team needs and delivery constraints before proposing an engagement. Estimates list assumptions and what may change the plan.
Can we discuss a project under an NDA?
Yes. Let us know before sharing confidential materials so we can agree confidentiality terms first.
Our work
More language AI projects
Education & family · Mobile
AI Child Development Companion
A mobile companion that helps children practise language, thinking and social skills through conversation, drawing and games, with a parent app for oversight.
React NativeNext.jsTailwind CSSGoogle Cloud
Productivity · Web & desktop
Team Messaging with Built-in AI
A secure team messaging and collaboration tool with workspaces, channels and optional AI for summaries, replies and action items.
Next.jsReactRedux ToolkitElectron
Discuss your natural language processing needs
Share your goals, current situation and the help you need. We will review your message and suggest a practical next step.