Generative AI development services, from prototype to production

Discovery (should this be generative AI?), model choice, a prototype on your data, the production build (custom GenAI apps, RAG, agents, chat and voice, or AI features inside existing products), evaluation sets, security hardening against the OWASP LLM Top 10, launch and monitoring. You own the code, prompts and data.

It depends on scope and data. The written quote sets out the phases: discovery, a prototype on your data, evals and hardening, then a staged launch and monitoring. We show a working demo every week, so you see progress long before launch.

Start with prompt engineering and RAG for most use cases: RAG keeps answers grounded in your own, changing data without retraining. Fine-tuning makes sense for a narrow style or format at high volume, and ties you more closely to one model version. Our RAG vs fine-tuning guide goes deeper.

It depends on the provider’s terms and how the account is set up. We choose API settings and contracts where your data isn’t used to train models, keep personal data to a minimum, and document the setup. Open-weight models on your own cloud keep data inside your infrastructure.

For injection, we follow the OWASP Top 10 for LLM Applications 2025: separate instructions from untrusted content, limit what tools can do, require human approval for risky actions and test with attack sets. For hallucinations, we ground answers in retrieved sources, ask for citations and measure groundedness in evals. Neither risk is ever zero, so we monitor in production.

We are model-agnostic. We compare hosted models from the major AI providers with open-weight models you can run yourself, on your own tasks, for quality, cost, speed and data terms. We keep prompts, retrieval and evals portable, so you can switch models as they change.

It may, if you place AI systems on the EU market or your outputs are used in the EU. The European Commission says GPAI obligations applied from 2 August 2025, general application began on 2 August 2026 with some exceptions, and Annex III high-risk rules apply from 2 December 2027 (checked 23 Oct 2026). This is not legal advice; we build to the requirements your lawyers confirm.

With an eval suite agreed with you: a golden dataset of real questions with agreed answers, groundedness and retrieval checks, safety test sets and sampled human review, plus cost per task and response time in production. Regression evals run before every prompt, model or data change.