Classification, extraction and sentiment on your own text
Structured data pulled out of documents, tickets and messages, with accuracy measured per field.
2 wks
To a working POC
15
AI capabilities we build
9
Years in business
What you get
What every NLP project includes
Language data is messy. We define the labels and the examples before building anything.
Talk through the use caseField-level extraction accuracy reported
Human review loop for low-confidence output
Output written into your existing systems
Our process
Four steps from text to structured insight
The labels come first.
- 01
Define the task & labels
Classify, extract, summarise or search: what the output looks like.
- 02
Prepare the text
Collect, clean and label examples, including the languages and spellings you really see.
- 03
Build & evaluate
Models compared on held-out text, with the mistakes reviewed.
- 04
Deploy & improve
An API or pipeline in your system, with corrections feeding the next version.
Tech stack
What we build it with
Four layers, each chosen per project. Open one to see what sits in it and why.
Models & frameworks
The layer that generates. Chosen per task against quality, latency and cost.
Retrieval & data
Where grounded answers come from: your documents, indexed and tuned.
Serving & ops
How it runs in production, and how you see what it is doing.
Evaluation
How we know the output is good enough before a user sees it.
More AI capabilities
Fourteen more ways we apply AI
AI Software Development
End-to-end AI product builds.
AI Chatbot Development
Smart, conversational AI for business.
AI Agents Development
Linked agents for smarter tasks.
AI Voice Agents
Voice intake and call handling.
Generative AI Solutions
AI that creates and innovates.
LLM Chatbot Development
Grounded in your own content.
LLMs for SMEs & Enterprises
AI built to scale with you.
RAG Model Development
Smarter AI with search + generation.
GPT Integration
AI seamlessly in your workflow.
Prompt Engineering
Better prompts, better results.
Machine Learning Development
AI that learns from your data.
AI Workflow Automation
Process automation that holds up.
AI MVPs & POCs
Proof before you commit to a build.
AI Consulting
Where AI pays off, and where it doesn't.
Frequently asked questions
The questions we get asked about AI
Data handling, output quality, cost and ownership.
Start with one text task
Two weeks, your text, a working classifier or extractor and a score.