No transcript retention design
Use safe summaries, embeddings, and category bins instead of storing raw conversations.
Whether you're looking for a friend, a date, a mentor, a community member, or your next customer, matching needs real context, but you should never have to expose more than necessary. Private signals in, controlled disclosure out.
The platform is structured around minimum necessary data, consent receipts, explainable outcomes, and separate controls for each goal or workflow.
Use safe summaries, embeddings, and category bins instead of storing raw conversations.
Keep your goals separate (dating, friendship, hiring, or sales) so one never leaks into another.
Confirm what can be revealed before any introduction or handoff to a person or a team.
Provide human-readable reason codes for matching, routing, scouting, or deferring.
Enterprise deployments can include admin controls, approved data sources, role-based access, audit trails, review queues, and privacy budgets for each workflow.
Review sensitive intros, scout actions, or escalations before activation.
Limit who can configure models, view analytics, approve matches, or export results.
Track decisions, consent, routing events, and business-rule overrides.
Control retention, source access, field-level sharing, and disclosure limits.
Glow separates private context, matching signals, decision rationale, and disclosed handoff context.
Your intent, personal or business, is captured through interfaces and sources you approve.
Signals are transformed into safe categories, embeddings, constraints, and goals.
Glow evaluates fit, consent, and eligibility before anything is shared.
Only approved information is shared in the intro, handoff, or scout output.
Glow is designed to be deployed with clear data boundaries, approved source access, and documented disclosure rules for each workflow.