Custom AI & applied LLM development
We build custom and applied AI — RAG systems, fine-tuned models, and LLM features — engineered for production accuracy and cost, then shipped as real product. We operate our own live AI product, so we build for accountability, not demos.
The problem
Most 'AI' work is a thin wrapper around an API that's inaccurate, expensive, or impossible to trust once real users arrive. Getting AI to be accurate, grounded, and cheap enough to run in production is the hard part — and it's what we specialize in.
How we do it
- RAG done right — retrieval that keeps answers accurate and grounded in your data
- Fine-tuning / custom models when an API genuinely isn't enough
- Cost optimization — model routing, caching, and prompt engineering that cuts spend
- Evaluation and observability so quality is measured before and after launch
live in production
We built and operate Doktouri, a live AI healthcare SaaS used by clinicians daily, and Healnapse's Gulf-Arabic medical ASR — production AI with the receipts.
Read the case study →What's included
- AI feasibility + architecture (RAG vs fine-tune vs API)
- Model / feature build + data pipeline + integration
- Evaluation harness, guardrails, and cost controls
- Production deployment + monitoring
Fixed-scope builds from €5,000.
Stack
Frequently asked questions
RAG, fine-tuning, or just an API?
For most products RAG is the right first answer; fine-tuning pays off in narrower cases and a plain API in others. We recommend the cheapest approach that hits your accuracy bar — and tell you when you don't need custom AI at all.
How do you control LLM costs?
Model routing, caching, prompt compression, and batching — plus measuring cost per request so it's managed, not a surprise on the invoice.
Do you build the product around the AI, or just the model?
The full product. We're a product-engineering team — we ship the web/mobile/SaaS experience around the AI, not just a model you have to integrate yourself.
Related reading
Building something like this?
Tell us the scope and we'll come back with a fixed price and timeline — 30 minutes with the engineers who would actually build it.
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