// RESOURCES
Understand the problem
we solve.
Research, frameworks, and thinking from the team building the AI Input Layer.
15 June 2026
5 min read
The Hidden Cost of Bad AI Data: A Full Business Case
When an AI project fails, the post-mortem almost always lands on the model — the wrong architecture, insufficient training data, a tuning choice that didn't generalise. Rarely does the conversation turn upstream, to the input layer where data was collected, cleaned, and structured before it ever reached the model.
4 May 2026
3 min read
From Pilot to Production: What Actually Breaks
Every enterprise AI pilot looks good. This is not a cynical observation — it is a structural reality of how pilots are designed. The data is curated. The scope is narrow. The use case is selected precisely because it is the one where the existing data is cleanest and the model is most likely to perform well.