Pattern
Consumer companion apps are using personal-data graphs as the wedge.
The consumer side of the map is strongest when products remember enough context to become useful over time. Social graph, personal health data, relationship context, and household logistics all create a wedge for repeated use. The bet is that memory and graph structure matter more than a blank chat box.
Companies
Companies that fit
Pattern tends to drive heavy consumer inference usage.
Series
Series uses iMessage and social context to make warm introductions feel native to existing behavior.
Cerca
Cerca fits by using friends-of-friends graph data to reduce stranger anxiety in dating.
222
222 turns matching into real-world plans, making social context and logistics part of the product.
Tapestry
Tapestry supplies social graph infrastructure for consumer and agentic products.
Nori
Nori uses personal health data and memory to make wellness guidance more continuous.