No transcript retention design
Use safe summaries, embeddings, and category bins instead of storing raw conversations.
Privacy-first by design
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.
Core principles
Private signals in. Controlled disclosure out.
Separate goals
Keep your goals separate (dating, friendship, hiring, or sales) so one never leaks into another.
Consent-aware handoffs
Confirm what can be revealed before any introduction or handoff to a person or a team.
Explainable decisions
Provide human-readable reason codes for matching, routing, scouting, or deferring.
Enterprise controls
Enterprise-grade controls when you need them.
Admin approvals
Review sensitive intros, scout actions, or escalations before activation.
RBAC
Limit who can configure models, view analytics, approve matches, or export results.
Audit trail
Track decisions, consent, routing events, and business-rule overrides.
Data boundaries
Control retention, source access, field-level sharing, and disclosure limits.
Data flow
What gets shared is as important as what gets matched.
Private intake
Your intent, personal or business, is captured through interfaces and sources you approve.
Safe representation
Signals are transformed into safe categories, embeddings, constraints, and goals.
Decisioning
Glow evaluates fit, consent, and eligibility before anything is shared.
Minimal disclosure
Only approved information is shared in the intro, handoff, or scout output.
Security review
Bring your privacy, security, and legal teams early.
Glow is designed to be deployed with clear data boundaries, approved source access, and documented disclosure rules for each workflow.