LLM
AI solutions
A language model is useful when it answers from your data instead of guessing. We build assistants grounded in your documents and procedures, with a source link on every answer and a clear line where the assistant must say it does not know.
Stack
- Claude API
- OpenAI API
- pgvector
- LangChain
- Python
What you get
Sourced answers
Every answer points at the document it came from.
Assistant boundaries
Defined topics beyond which the assistant refers to a person.
Cost control
Limits and usage tracking so the bill holds no surprises.
Quality checks
A test set of questions we check every change against.
How it runs
- 011 week
Data
We collect the documents and clean them into something usable.
- 021–2 weeks
Prototype
We run a narrow version and check how accurate the answers are.
- 032–3 weeks
Rollout
We connect the assistant to the channel your people already use.
- 04ongoing
Oversight
We review conversations and fix the places where answers are weak.
Related services
Support
Communication bots
Customer support across WhatsApp, Messenger and web chat — in one inbox.
Process
Process automation
Repetitive office work done by a system instead of a person every morning.
API
System integrations
We connect CRM, shop, warehouse, accounting and messengers so data stops being retyped by hand.
Tell us what you want to build
Write a few sentences about the project. We reply within one business day, and if we are not the right people for it we will say so and point you somewhere better.