AI
LLM
We set up large language models to work on your own data.
The situation
Off-the-shelf chat tools do not know your company knowledge. They give general answers that may not fit your situation.
Our approach
We connect the model to your own documents and data. Answers come from your knowledge and show their source.
What we do
- Model selection and cost comparison
- Prompt design and version management
- Measuring answer quality
- Privacy and data boundaries
- Usage and cost monitoring
Technologies we use
Backend
- Node.js
- Python
- .NET
Database
- PostgreSQL
- Supabase
Cloud
- AWS
- Azure
AI
- OpenAI
- Gemini
How we work
Discover
A map of the current state and a prioritised list of needs.
Define
A scope document, success criteria and a schedule.
Design
A clickable interface prototype and the design system.
Develop
Working builds delivered at regular intervals.
Deploy
The live system, technical documentation and a hand-over session.
Grow
A usage report and a prioritised improvement plan.
Common questions
- How do you decide which model to use?
- By what the job needs and what it costs. We try the same task on several models and show you the results and the cost side by side.
Other services in this area
Let's talk about this
A short call to get clear on what you need. We will tell you plainly which approach fits.
Start your project