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AUR+A

Provides an augmented reality (AR) networking platform that replaces traditional QR codes with person recognition technology for secure and efficient event check-ins. The solution enables attendees to identify and connect with others, access contact history, and record conversations via AI, streamlining networking for enterprises and event professionals.

San Francisco, United StatesFounded 20231500+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Traditional networking at events relies on QR codes and business cards, which can be inefficient and impersonal. Attendees often struggle to remember names and contextual details from brief interactions, hindering meaningful follow-up.

Solution

AUR+A offers an augmented reality (AR) networking platform that uses person recognition technology to streamline connections at events. Instead of scanning QR codes, attendees can use the AUR+A mobile app to identify individuals in real-time and access their LinkedIn profiles. The platform also provides features for recording conversation notes and accessing contact history, facilitating more productive networking. For exhibitors, AUR+A helps sales teams identify and engage with relevant attendees at their booths, while AI-powered note-taking captures key discussion points.

Target Audience

AUR+A targets enterprise and event professionals seeking to enhance networking experiences, as well as exhibitors looking to improve lead generation and engagement at events.

Features

  • Person recognition via AR for quick identification and connection
  • LinkedIn integration for accessing professional profiles
  • AI-powered conversation recording and note-taking
  • Digital contact history for easy reference
  • Event check-in using person recognition instead of QR codes
  • iPad/monitor display for exhibitors to identify relevant attendees
  • (Coming) Map feature to locate people within the event space
This profile is AI-generated and may contain inaccuracies.