[ 02 /services]
AI integrations
A language model can do a lot, but without tests and cost limits it can quickly become an expensive toy. We add AI where we can measure the results and make sure it behaves predictably.
What you get
- Search and answers based on your documents (RAG), with sources cited.
- Agents that handle repetitive tasks in your systems, with controls over what they can do.
- A response quality test suite that runs whenever a prompt or model changes.
- API cost limits and monitoring.
- A version using a local model when data cannot leave your server.
When it makes sense
- Your team spends hours searching documents, email, or support tickets for information.
- Repetitive text tasks like classification, summaries, or data extraction take too much time.
- You want to test an AI feature idea before committing a large budget.
When it does not
When the result must always be the same and regular code can produce it. In that case, we write regular code because it costs less and is more reliable.
Technologies
Language model APIs (including Claude and GPT), local models run with Ollama, Python and FastAPI, Laravel, and PostgreSQL with vector search.
Have an idea for an AI feature? Tell us about it and we will say whether, and how, we can measure it.
Get a quote