04Custom Models & AI Infrastructure

Intelligence built around your data.

Fine-tuned and domain-specific models, retrieval architectures, evaluation pipelines and private inference. We understand AI beneath the interface.

What we build

Model fine-tuning and distillation
Domain-specific and small language models
RAG architectures and embeddings
Evaluation pipelines and benchmarks
Model routing and inference infrastructure
Private, on-premise, local and European-hosted deployment

How it is built

Off the shelf is the start, not the answer

When your domain, your data or your constraints demand it, we build the specialised layer: datasets, fine-tuning, distillation and the evaluation that proves it works.

Evaluation harness first

Fine-tuning, routing and prompt changes are compared against your criteria, not against a demo. Every model decision is a measured decision.

Inference where your policy says

Your cloud, your hardware, European infrastructure or on device. Quantisation and serving optimisation keep it fast and affordable.

Technology we reach for

Open-weight models: Llama, Mistral, Qwen and others
PyTorch and Hugging Face
vLLM and optimised serving
pgvector and dedicated vector stores
Evaluation frameworks and custom harnesses
Kubernetes, bare metal or European cloud providers

Related work

Recruitment technology companyRecruitmentCustom model

A model that reads CVs like a recruiter

A domain-specific model that extracts roles, skills, seniority and availability from CVs into structured, searchable data, served on private European infrastructure.

Dataset design
Fine-tuning
Evaluation pipeline
Private inference

Tell us what should exist.

Bring the brief you are not sure anyone can build.

Start a project