Complex AI systems
We design and build systems where AI is part of the core: document classification and extraction, decision engines, semantic search over internal knowledge and integration with the systems you already use. Every requirement is traced to the test that proves it.
Who it is for
- Organisations with high-volume processes and many exceptions
- Teams that need to take an AI pilot into production safely
- Regulated sectors that require auditability and explainability
What you get
Documented architecture
Recorded technical decisions, diagrams and the boundaries of each component.
Data and evaluation pipelines
Real test sets and model quality metrics measured on every release.
Integrations
Existing APIs, ERP, CRM and databases connected through tested contracts.
Observability
Logs, cost per request and alerts visible from day one.
Usual technologies
- LLMs from several providers
- RAG and vector search
- Python
- TypeScript
- PostgreSQL
- Kubernetes
Frequently asked questions
Does our data leave the company?
Only if you decide so. We work with cloud models under data processing agreements, models hosted on your infrastructure, or a combination, depending on how sensitive each flow is.
How do we know the AI is answering well?
Each system has an evaluation set built from your real cases. The metrics are recalculated automatically before every delivery.
Let's talk about your case
Describe what you need. The first conversation is for asking the right questions, with no commitment.