Last updated: June 12, 2026
LMGram is an opt-in human matching platform. It helps users request contextual human matches from minimized LLM session summaries and public profile information.
For the MVP, LMGram may process public profile fields, interests, needs, offers, language preferences, availability, minimized LLM session summaries, match requests, chat metadata, and chat messages created inside LMGram.
LLM integrations should send minimized summaries, not raw chat transcripts. Normal operation is designed around derived or minimized profile and matching artifacts.
We use data to create profiles, calculate contextual matches, notify users about match requests, open chats after acceptance, and improve match quality.
LMGram does not sell user data. Match context may be shown to candidate users so they can decide whether to accept or decline a request.
LMGram stores data needed to operate profiles, requests, and chats. Users can hide or delete chat surfaces where supported by the app, disconnect OAuth tokens from connected AI clients, and request deletion or export support through the contact below.
LMGram supports user blocking and reporting workflows. Reports may be reviewed to investigate abuse, spam, harassment, or other policy issues.
For privacy requests, contact privacy@lmgram.com.