Product
It learns your business, so it gets sharper every week.
Quarria doesn't retrain a model. It builds up context about your business and tunes what it surfaces, so relevance climbs week over week and the value gets hard to leave behind.
How Quarria learns your business
Four inputs feed one relevance engine that keeps getting better.
What you tell it
Define your offerings, buyers, competitors, and positioning. That's the foundation: every signal is filtered through your business context, not a generic market view.
What you connect
Bring in your documents, knowledge base articles, and data exports. Quarria uses this to distinguish signals that matter to you from noise that matters to someone else.
What you do
Every signal you act on, share with a colleague, or dismiss tunes what surfaces next. Your behaviour is the training signal, so there's no manual setup.
What worked
As you record outcomes (deals pursued, meetings booked, opportunities won), Quarria learns which upstream signals matter most and surfaces more like them.
The compounding loop
Your context is yours
All business context is isolated per customer and never used to train shared models. Your competitive data, your buyer personas, your outcome records: none of it leaks to other tenants or feeds a shared AI. You can export or delete your data at any time.