Business decisions backed by data instead of intuition
· Service 02
AI & Analytics
Models shipped to production, not notebook demos
Predictive models, LLM agents wired into the workflow, semantic search and RAG over your document base, computer vision, NLP, and exploratory statistical analysis. We cover the full cycle from the business question to a model running in production with versioning, drift monitoring, and scheduled retraining.

· What we offer
AI only adds value when it's wired into the real workflow and kept healthy in production. We start from the business question (not the trending model), validate with real data before investing in infrastructure, and ship systems with quality metrics, drift monitoring, and retraining plans. We use classic models where they fit, LLM agents when they make sense, and RAG over internal documentation when the problem is one of knowledge.
· Benefit
What your business gains
Fewer repetitive manual tasks, with agents that actually keep state
Instant access to institutional knowledge via RAG (manuals, contracts, regulations)
Early drift detection — the model doesn't degrade without you knowing
· Typical projects
What they look like
- 01RAG assistant over internal documentation (legal, technical, commercial)
- 02Predictive model for churn, demand, fraud, or credit risk
- 03Computer vision for industrial inspection or visual search
- 04Classification and structured extraction from documents (invoices, forms)
- 05Scoring pipeline with full MLOps: versioning + monitoring + retraining
· Adaptation
How it fits your needs
Every project is different — team, budget, timeline and technical maturity decide the right path. These are the adjustments we make most often:
If your data is limited: we start with classic models before proposing LLMs
If you have privacy constraints: we work with on-prem or private models
If the case is exploratory: we start in a notebook and iterate before production
If the case is critical: we add guardrails, observability, and rollback from day one
· Stack
The tools we typically work with for this service. The choice depends on the client's context.
· Related areas
· Let's talk
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