Services
AI Products — AI Development: LLM Assistants and Automation
LLM assistants, document processing and workflow automation, measurable and auditable.
What you walk away with
An AI layer with measured accuracy that keeps your data where it belongs.
- Typical duration
- 6–14 weeks
- Team
- core team of 3
- Start
- 1–2 weeks after signing
How we work
We build LLM assistants, document processing and workflow automation. Every solution is measured against an evaluation set, constrained with guardrails and hosted in the EU; client data is never used for model training.
What is included
- RAG & tool-using agents
- Evaluation & guardrails
- Data privacy, EU hosting
The right call when
- 01
Your team reads the same documents every day and types the data in by hand.
- 02
Support requests repeat themselves and your first-response time keeps growing.
- 03
You tried a demo but could not trust it enough to put it in production.
Typical stack
- Claude
- OpenAI
- Python · FastAPI
- pgvector
- PostgreSQL
- Redis
- Langfuse
- Docker
How we work
The work is shaped around the required scope: an LLM assistant, document processing or workflow automation. Components such as RAG and tool-using agents can be considered according to that scope. The solution can be developed with the listed technology components, including Python, FastAPI, PostgreSQL, pgvector, Redis, Langfuse and Docker. The stated project duration for this service is 6–14 weeks, with scope, assumptions and a delivery plan described in a numbered proposal.
The delivered solution is measured against an evaluation set and constrained with guardrails. This makes the AI layer's accuracy measurable and its behavior auditable. The system is hosted in the EU, and client data is never used for model training. The approach addresses scenarios such as repeated document reading and manual data entry, recurring support requests, or demos that were not trusted enough to move into production.
Also delivered
- Evaluation-set measurement output
- RAG or tool-using agent components
- Guardrail configuration and audit scope
- AI layer hosted in the EU
- Document-processing or workflow-automation components
Frequently asked questions
What types of AI products does the work cover?
The service covers LLM assistants, document processing and workflow automation. Its scope can also include RAG and tool-using agents. Every solution is measured against an evaluation set and constrained with guardrails.
Is client data used for model training?
No. According to the service data, client data is never used for model training. The solution is hosted in the EU, and data privacy and EU hosting are part of the stated approach.
How is the accuracy of an AI product evaluated?
Every solution is measured against an evaluation set. This makes the AI layer's accuracy measurable. Guardrails are also used to constrain the solution's behavior and support an auditable implementation.
How long does delivery take?
The stated project duration for this service is 6–14 weeks. The exact scope, assumptions and delivery plan are included in a numbered proposal, with the duration assessed within the range given for this service.
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Not sure which service you need?
A short call usually settles it. Tell us what you are trying to do and we will pick the right starting point together.