Natural language processing
Software that understands and writes language
We build NLP systems for text analysis, entity extraction, search, chat and document processing.
Language data is everywhere in a business. NLP turns it into answers, structure and automation.
We analyse and classify text, extract the entities that matter, build search that understands meaning, and connect language models to your documents.
What we build with NLP
Four parts of the NLP work we take on.
Text analysis and classification
Sentiment analysis, topic modelling and document classification with transformer models and statistical methods.
Named entity recognition
People, organizations, places and your own entity types extracted from unstructured text.
Language generation and chatbots
Conversational assistants and text generation with language models and retrieval-augmented generation (RAG).
Document intelligence and semantic search
Data extracted from documents, contracts and reports, and vector search that finds content by meaning.
The tools we build NLP systems with
- OpenAI
- Hugging Face
- spaCy
- NLTK
- TensorFlow
- Elastic
Six steps take a product from first call to launch. The team that starts it stays to support it.
- Discovery Your goals, users and constraints, turned into a roadmap.
- Design Interfaces and flows built on research and your brand.
- Build Sprints with working software to try every week.
- QA Manual and automated tests before every release.
- Launch CI/CD pipelines and cloud setup for repeatable releases.
- Support Monitoring, fixes and improvements after launch.
01
One team from first call to support
The people who scope your product also design, build and support it.
02
Working software every week
Weekly demos and reviews let you see progress and change course early.
03
Direct access to engineers
You talk to the engineers building your product, and one project manager keeps the plan.
Products we built
Neptune EHS and SayThread are products CodeSwift built. Each links to its own site.
EHS software for safety and compliance teams, a product CodeSwift built.
- Incidents
- CAPA
- Lockout/Tagout
- HazCom
SayThread
A voice ecosystem across your Android phone and your Windows or Linux computer, built by CodeSwift. In beta.
- 27 languages
- Untangle
- Rewrite by voice
- Meeting recaps
“Great products start with a clear direction and a team that can execute.”
Why work with us
Many languages
Multilingual and cross-lingual models with language detection, for products used around the world.
Models tuned to your domain
Transfer learning and domain adaptation fit models to your industry, data and goals.
The right tool for the job
Classic NLP where it is enough, large language models where they earn their cost.
Inside your systems
NLP features run inside your apps and workflows, with monitoring after launch.
FAQ
What kinds of NLP problems can you solve?
Text processing and classification, entity extraction, search, document processing, chat and text generation, in many languages.
Which NLP frameworks and models do you use?
Classic NLP tools such as spaCy and NLTK as well as transformer models, chosen for your requirements and performance needs.
How do you train custom NLP models?
With transfer learning and domain adaptation, so a model learns your industry's language from your own data.
Startyour projectwith CodeSwift
Tell us what you want to build and we'll plan the first steps with you.
Get in touchPrefer email? Write to our teams in Rawalpindi and Salt Lake City.
connect@codeswift.org