Data that holds up under scrutiny
We help startups and enterprises build data foundations that support real decisions — strategy, architecture, governance, and the engineering to deliver it.
Most organisations do not have an AI problem. They have a data problem that becomes visible the moment they attempt AI — undefined metrics, pipelines nobody owns, and numbers that disagree depending on who is asked.
We work on that layer. Sometimes that means a strategy engagement and a roadmap. More often it means both the plan and the engineering to deliver it, because recommendations that are never implemented do not change anything.
The work looks different depending on where you are. A Series A company needs a foundation that will not need replacing in a year. A large organisation needs change that survives procurement, security review, and the systems already in place. Same discipline, different constraints.
Recent insights
Why metric definitions drift, and what actually stops it
Two dashboards disagree about active users. The cause is almost never the pipeline.