Trust controls for sensitive intent, not public-profile matching. 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.
You don't need to post publicly, send cold messages, or explain yourself. Glow makes the introduction while keeping you in control of what gets shared.
Tell Glow what you're looking for in private. Nothing about you goes on display.
You decide what Glow passes along, and both sides can say yes, pass, or wait.
No cold outreach. Every introduction starts with why you should meet.
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.
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.
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 is designed to be deployed with clear data boundaries, approved source access, and documented disclosure rules for each workflow.
Only the context needed to make a useful recommendation moves through the system.
Identity stays private until the right moment, reducing noise and protecting users.
Every decision ends in a real next step: an introduction, a meeting, a route, or a handoff.