AI & Machine Learning for Real Business Problems

Default to API for prototyping and most production cases — quality, latency and cost are all better than self-hosting until you have very high volume (>1M calls/day) or strict data residency requirements. Self-hosted open-weight (Llama, Mistral, Qwen) becomes the right answer for: regulated workloads, on-prem or air-gapped environments, predictable cost at scale, or when you need to fine-tune.

Layered defence: (1) ground answers in retrieved documents (RAG), (2) require citations the user can verify, (3) automated eval against ground truth on every prompt change, (4) production monitoring for confidence scores, (5) human-in-the-loop for high-stakes decisions. We never claim 0% hallucination — we measure the rate and design the UX around it.

Not by default. With OpenAI/Anthropic/Google business APIs, customer data is contractually excluded from training. We sign DPAs that codify this. For maximum certainty, we self-host open-weight models in EU regions you control — your data never leaves your infrastructure.

Two layers. Offline: an eval set of 50–5,000 input/expected-output pairs the system is scored against on every change (precision, recall, hallucination rate, citation accuracy, etc). Online: production monitoring of proxies (user thumbs-up/down, escalation rate to human, conversion), sampled and re-judged weekly. No production system ships without both.

It depends on the use case classification. 'Limited risk' systems (chatbots, generative content) need transparency obligations only. 'High-risk' (employment, education, credit, law enforcement) need conformity assessment, registration, and ongoing monitoring. We map your use case to the Act's classification during Discovery and design controls accordingly. We don't build prohibited categories.

Highly use-case dependent. A customer-support chatbot doing 10K conversations/month with GPT-4-class models costs €300–€800/month in API fees. The same volume on Claude Haiku or self-hosted Llama 3 costs €30–€150. Embedding storage in pgvector is essentially free at single-digit GB; Pinecone/Weaviate are €70–€300/month at production scale. We give you a per-1K-call cost projection in the POC report.