Aeion Events Networking & Matchmaking Architecture
The hardest problem in event networking isn't UI — it's algorithm. Suggesting the right people to meet, at the right time, with the right reason, while respecting privacy, scaling to 50K+ attendees, and learning from outcomes. Aeion Events' AI networking matcher uses vector embeddings + 6-factor weighted scoring + feedback loops to deliver 40+ per-attendee match suggestions with 40% typical meeting-acceptance rate.
The Matching Algorithm
Every attendee builds a profile — name, role, company, industry, a short bio, interests, what they're looking for, what they can offer, location, and seniority. Aeion turns that profile into an AI-generated semantic fingerprint that captures meaning, not just keywords, so two attendees who describe similar goals in completely different words still surface as a strong match.
Privacy + Consent Model
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Scale + Performance
Aeion Events' networking matcher is built to handle events from 500 to 50,000+ attendees without attendees waiting around. Match lists refresh automatically whenever a profile is updated, so recommendations stay current throughout the event, and meeting-suggestion queries typically return in well under a second regardless of event size — the networking experience feels instant whether you're browsing matches during a keynote or between sessions.
Measurable Outcomes
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FAQ
Per-attendee opt-in networking. Per-attendee minimum data: name + role + interest. Per-attendee opt-out anytime.
Per-Aeion matching is based on measurable similarity scoring across weighted factors, not free-form LLM generation. No hallucinated suggestions.
Per-attendee optional. Per-attendee LinkedIn integration. Per-attendee NSFW screening.
Per-attendee OAuth-authenticated profile import. Per-attendee verification.
Per-Aeion-native calendar. Per-attendee Google / Outlook integration.
Per-event meeting-room booking. Per-attendee reserve-or-cancel.
Per-attendee opt-in. Per-attendee directory access. Per-attendee post-event messaging.
Per-attendee anonymous-until-match. Per-mutual-acceptance reveal.
Per-attendee data-deletion request. Per-Aeion compliant workflow.
Per-sponsor target-profile. Per-attendee matching sponsor interests. Per-attendee opt-in.
Per-meeting post-meeting survey. Per-rating feedback to algorithm.
Per-attendee language preference. Per-multilingual embedding model.