Our source of truth.
Before Galya can compute taste, it has to understand what your content communicates.
Semantic extractionobj_windowobj_furnitureFor AI to be able to reason beyond memorization, it also needs a new source of truth, where it gets its context from.
Content Intelligence is the indexing layer: the process that turns every asset in your catalog into a semantic coordinate the Taste Graph can reason on.
Index a URL, a batch, or an entire catalog. Every item gets encoded for meaning across aesthetic, mood, tone, and intent.
The index updates as your catalog grows. The graph updates as your users engage.
Content indexed for meaning, not metadata.
Every asset in your catalog (image, text, video, audio) gets analyzed by vision-language models and encoded across four dimensions:
Aesthetic
visual style, composition, palette
understatedMood
the emotional register something projects
calmTone
how it feels to engage with it
warmIntent
what it’s trying to communicate to the person looking at it
aspirationalThe same product can project confidence or anxiety, warmth or distance, restraint or excess.
That distinction doesn’t live in a tag. It lives in the content. Galya reads it.
Ready to give your AI taste?
Book a demo and see your first Taste Graph composed live, from cold-start to a callable preference layer.