AI Software Development

We recommend based on your use case, budget, and performance requirements. Not every feature needs GPT-4 — for many tasks, a smaller, faster, cheaper model performs just as well. We help you make the right call and can build with fallback logic across multiple models for resilience.

A chatbot widget is a generic tool with no knowledge of your business. A real AI product uses RAG (retrieval-augmented generation) to answer from your actual data — your product catalogue, policies, customer history — and is integrated into your workflows so the AI can take actions, not just respond.

We use RAG to ground the AI in your actual documents and data, which significantly reduces hallucinations. We also build confidence scoring, source citation, and human-in-the-loop review flows for high-stakes outputs. For CraftOffer, we achieved 95% quote accuracy in production using structured output schemas and a compliance-first data pipeline.

A focused AI feature integration (e.g. adding a RAG chatbot to an existing product) typically takes 6–8 weeks. A full AI-native SaaS product from scratch is typically 12–20 weeks depending on scope. We scope clearly in discovery so you know exactly what you’re getting before we start.

Yes — CraftOffer is our proof of this. We built it for the German market under full DSGVO compliance: data anonymised before it reaches the LLM API, on-premise model options for sensitive data, data retention policies, and a complete audit trail for every AI decision. Compliance is engineered in from architecture, not bolted on at the end.

Yes. All source code, model prompts, infrastructure configuration, and documentation are transferred to you on completion. There is no dependency on us to keep the AI running. You own everything.