Intent intelligence for events, expos, campuses and high-density communities.
LMGram helps partners understand what people are actively looking for inside a bounded context: which needs create useful connections, which interests form groups, and which demand remains unmet.
One core model: managed contexts.
A managed context is a physical, temporal or community space where many people express intent within a shared boundary. It can be an event, expo, campus, venue or private community.
Different interfaces over the same intelligence layer.
Events / Expos
Understand networking performance during and after the event, identify sponsor opportunities, and reuse activation material for the next edition.
Campus
Track student needs and interests continuously: study groups, clubs, projects, support demand, belonging signals and aggregate safety indicators.
Venues / Communities
See which programming, services or experiences create repeated connection value for members, guests or local communities.
Reports should answer operational questions.
Partner access is scoped and aggregate-first.
Partners should not receive raw conversations, exact user location trails or unrestricted user lists. The console is designed around aggregate trends, activation metrics and operational insights for the contexts they administer.