Your studio runs on six systems that never talk to each other, and you are the one joining them. Here is the same morning with the glue removed: a spoken briefing, a drifting member caught, and a teacher who sees her future in the two minutes after class.
Six systems, six ID schemes, no agreement on what a customer is. Here's the method we used to fix that, and why the fix isn't a better model.
The lake gathers your studio's history; the ontology tells it what everything means. Here's what the map found — rotating-identity fraud, an intro plan capped below the habit threshold, and gaps that read as zero.
People ask which AI model is behind Kula Intelligence. The model is the least interesting part. The real work is the data lake underneath, the thing enterprises hire a team to run and a boutique studio never could.