Most failed AI initiatives never had a model problem. They had a data problem no one wanted to solve first.

Organisations rush to deploy AI models before ensuring their data is clean, connected, and governed. The result is models trained on incomplete records, siloed datasets, and undocumented assumptions — producing outputs no one can trust.

Unicorn's approach starts with the data foundation: the Alicorn Data & AI Engine provides a unified, governed data layer that connects disparate sources, enforces quality, and ensures every AI model is built on ground truth. Because the best model in the world is worthless without the right data underneath it.

Topic: Data & AI Governance