Insight from
your data,
not the hype.
Unlock actionable insights from your data with cutting-edge AI and machine learning. We build solutions that actually ship and stick.
01 / StackCommon tools in this space
The tools
engineers bring.
These are the tools and technologies engineers we place typically work with. Every engagement is different — tell us your stack and we’ll match accordingly.
AI / ML
- Python
- OpenAI / Anthropic APIs
- Machine learning models
Data engineering
- SQL / Python ETL
- Cloud data warehouses
- Data pipelines
Visualisation
- Tableau
- Power BI
- Metabase
- Custom dashboards
Infrastructure
- AWS / GCP data services
- Scheduled jobs
- API endpoints
02 / ModelsHow we engage
Three shapes,
pick your fit.
A
2–4 wksStart with clarity
Data audit & strategy
Two-week audit of your data estate. We map quality gaps, define a target architecture, and prioritise 3 high-ROI AI opportunities.
Best for
Organisations with data but unclear where to start.
B
8–20 wksEnd-to-end ML
Model build & deploy
From feature engineering to production API. We own model training, evaluation, monitoring, and retraining pipelines.
Best for
Teams with a defined ML use case and data.
C
10–24 wksData warehouse + BI
Analytics platform
Modern data stack: ingest, transform, model, visualise. Includes self-serve dashboards your team can maintain without us.
Best for
Companies replacing legacy BI or spreadsheet reporting.
05 / NextStart a project