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From model selection and retrieval design to agents, evaluation and the platform underneath — plus the automation, cloud and product engineering that turns it into something your business can run on.

AI Engineering

The full AI stack, not just the API call

Anyone can wire up a chat completion. The distance between that and a system your business can depend on is six layers deep — and we work at every one of them.

LAYER 01

Models & Fine-Tuning

Choosing, adapting and evaluating foundation models — from prompt-level engineering through LoRA/QLoRA fine-tuning to distillation for cost and latency.

  • Model selection & benchmarking
  • LoRA / QLoRA fine-tuning
  • Distillation & quantisation
  • Structured output & function schemas

What we build with

Model and tool choices follow the problem. We are not tied to a single provider, and the systems we build are designed so that swapping one is a configuration change.

Foundation Models

  • Claude
  • GPT
  • Gemini
  • Llama
  • Mistral
  • DeepSeek
  • Qwen

Frameworks & Orchestration

  • LangGraph
  • LangChain
  • LlamaIndex
  • Agent SDKs
  • MCP
  • DSPy
  • Temporal

Vector & Search

  • pgvector
  • Pinecone
  • Qdrant
  • Weaviate
  • OpenSearch
  • Elasticsearch

Training & Serving

  • PyTorch
  • Hugging Face
  • vLLM
  • Ollama
  • SageMaker
  • Vertex AI
  • Bedrock

Data & Compute

  • DuckDB
  • BigQuery
  • Snowflake
  • Airflow
  • dbt
  • Kafka
  • Spark

Evaluation & Observability

  • Ragas
  • LangSmith
  • Langfuse
  • Weights & Biases
  • OpenTelemetry
AI Practice

Where the AI work actually happens

Eight practices covering the problems enterprises bring us most often. Each one is a service we deliver end to end, not a capability we outsource.

Proof, not positioning

We run this stack on our own products

Seven live products built and operated by Brewcode. When we recommend an approach, it is one we already pay the inference bill for.

Not sure which of these you actually need?

Most engagements start with a conversation about the problem rather than the technology. Tell us what is not working and we will tell you honestly whether AI is the right answer.