Generative AI Development
We design, build and deploy production generative AI: LLM applications, RAG systems, agents and fine-tuned models. Senior engineers, evaluation built in, EU jurisdiction throughout.
Generative AI, built for production
The gap between a convincing prototype and a reliable product is where most generative AI stalls: no evaluation, no guardrails, unpredictable cost. Development is about closing that gap.
We build LLM applications, retrieval systems, agents and fine-tuned models to production standards, with an evaluation harness before app code and cost modelled from the start.
- LLM apps, RAG, agents and fine-tuned models, end to end.
- Evaluation and guardrails so quality is measured, not assumed.
- Senior engineers under EU jurisdiction, with IP assigned to you.
What we build
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LLM applications
Chat, extraction, drafting and classification features grounded in your systems and evaluated against real inputs.
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RAG and knowledge systems
Retrieval-augmented answers grounded in your own data, with reranking, citations and freshness you can trust.
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Agents and fine-tuned models
Multi-step, tool-using agents and domain-tuned models, with the guardrails and monitoring to run in production.
Frequently asked questions
How do you keep a generative AI feature reliable?
We build an evaluation harness before the application, so accuracy is measured against real inputs and regressions are caught before release.
Who owns what you build?
You do. Code and any fine-tuned models are assigned to your entity under EU contract law, with GDPR and EU AI Act obligations handled under one legal regime.
Can you control operating cost?
Yes. We model token and infrastructure cost from the start and use routing, caching and context strategy to keep it predictable.
Ship generative AI that holds up
Tell us your use case. We will scope a build that reaches production, with evaluation and cost control from day one.