AI strategy and readiness
Workshops and an assessment of your data, systems and processes, ending with a prioritised roadmap of AI use cases and their expected value.
AI services from idea to production
We help you decide where AI makes sense, prove it quickly on your own data and build production-ready AI features into your products and internal systems.
What we do
Scope of work
Proof of concept
A working prototype on your data within a few weeks, evaluated against agreed metrics to decide whether to scale it.
Generative AI solutions
Chat, search, content generation and summarisation features built on Azure OpenAI, Amazon Bedrock, Vertex AI or open-weight models.
Custom models and fine-tuning
Classification, prediction, computer vision and fine-tuned language models when off-the-shelf models are not enough.
Integration into products and systems
APIs and components that bring AI into your applications, CRM, ERP or intranet, with authentication and usage limits.
AI governance and the EU AI Act
Risk classification, documentation, human oversight and monitoring that prepare your AI systems for the EU AI Act and internal audits.
Technologies
Typical technologies
We are not tied to any single vendor: we work on public and private clouds and adapt to your environment, licences and team skills. These are the tools we use most often in this area.
Models and platforms
- OpenAI
- Claude
- Gemini
- Llama
- Mistral AI
- Hugging Face
Managed AI services
- Azure OpenAI
- Amazon Bedrock
- Vertex AI
- OVHcloud AI Endpoints
- Ollama
Languages and libraries
- Python
- PyTorch
- LangChain
- LangGraph
- FastAPI
MLOps
- MLflow
- Weights & Biases
- Kubeflow
Evaluation and guardrails
- Langfuse
- Ragas
- Promptfoo
- DeepEval
Related services
Often combined with this service
- OpenAI
- Claude
- Gemini
- Llama
AI & Automation Engineering
LLM-based assistants, document processing and process automation integrated with your systems.
Let's talk about your project
Tell us where you are today and what you want to achieve. We will suggest a concrete first step, and we can sign an NDA before any technical discussion.