Service
AI and data engineering
Retrieval, extraction and analytics work that survives contact with real data.
The hard part of most AI projects is the data underneath: inconsistent formats, missing history, permissions that were never modelled. We build the pipeline first and add the model layer on top of something dependable.
Every feature ships with an evaluation set, so when a prompt or a model version changes you can see whether quality moved. We stay vendor-neutral on model providers and design for swapping them.
What we deliver
- LLM integration, retrieval-augmented generation and vector search
- Document processing and structured extraction
- Warehouses, lakehouses and ELT pipelines
- Analytics dashboards and self-serve reporting
- Forecasting and recommendation models
- Evaluation harnesses, guardrails and spend controls
Technologies we use here
- Python
- PyTorch
- LangChain
- pgvector
- Snowflake
- dbt
- Airflow
- BigQuery
Tell us what you need built
Send over the brief, or just a rough description. We read every enquiry ourselves and reply within one working day, usually with questions before a price.