TouchToRate
TouchToRate · Other
TouchToRate is an AI networking platform for events. Its agent LAVI reads attendee goals, clusters intents, and recommends high-value matches so people meet the right contacts, not random small talk.
About TouchToRate
What Is TouchToRate
TouchToRate is a web platform for event networking. It runs on an AI agent called LAVI (Language and Vision Intelligence), which analyzes what attendees want to achieve and turns those intents into concrete introductions. Organizers use it to make their events worth more than a badge and a lanyard. Attendees use it to skip random crowds and find people who actually fit their goals.
The product treats every event as its own micro-social network. Instead of handing you a flat attendee list, LAVI builds a profile from your goals and background, then predicts which connections will create the most value. Organizers get engagement data and sponsor-ready reports, while attendees get match suggestions and follow-up prompts.
There are limits worth knowing. The matching quality depends on how honestly attendees describe their intent, and the AI works best at events with a real mix of participants. Cloud features like campaign delivery, AI people search, and verified contact data are metered separately from the core access, so heavy users pay per use.
Getting Started
- Sign up on the TouchToRate site and paste your LinkedIn profile URL so LAVI can draft your networking profile.
- Review the generated profile and adjust your goals, interests, and the kind of connections you want.
- Join an event, either as an attendee or by hosting, and let LAVI cluster intents across the room.
- Act on the match suggestions during the event, then track conversations, follow-ups, and results in your workspace.
Product Information
A quick look at TouchToRate's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Event attendees
- Event organizers
- Sponsors
- Startup founders and investors
Tasks
- Finding the right people at a large conference
- Capturing and exporting leads
- Measuring networking ROI
- Sharing a contact profile by tap or scan
Scenarios
- Running a multi-day industry summit
- Pitching at a sponsored networking session
- Following up after a trade show
Key features
LAVI Intent-Based Matching
LAVI reads what attendees actually want to achieve, not just their job titles. It analyzes goals, interests, and compatibility, then clusters similar intents so people with overlapping aims land in the same recommendations. This kind of event matchmaking is the core difference from a plain attendee directory, where you browse names and hope for the best.
Real-Time Connection Processing
AI event networking only helps if the suggestions stay current. Recommendations update while the event runs, so instead of freezing the list at check-in, LAVI recalculates matches as new attendees join and intents change. The suggestions hold their value on day two or three.
Micro-Social Networks per Event
Each event becomes its own small network rather than a generic global directory. That focus keeps recommendations tight to the room's actual audience, which matters when a conference has several distinct tracks or communities.
AI Digital Business Card
The card is a live profile, not a printed object. Your title, company, and links can change anytime without reprinting, and sharing works by NFC tap, QR scan, or a direct link from your phone. It also syncs to Apple Wallet and Google Wallet.
People and Relationship Workspace
Contacts, notes, sources, event context, and history sit in one workspace. You can tag people, track conversations, and export your relationship data, which keeps the follow-up work in the same place as the discovery.
Analytics and Sponsor Reporting
Organizers see profile visits, taps, links, and relationship data, and sponsors get reports on the business connections their sponsorship produced. That reporting is what turns networking into something a budget owner can justify.
Flexible Credit-Based Cloud Tools
Campaign delivery, AI people search, and verified contact data run on metered credits separate from lifetime core access. Every addition, deduction, and refund shows up in your credit activity log, so usage stays visible.
Pros and cons
Pros
- Intent-based matching goes deeper than a job-title filter, which matters when you need a specific kind of contact.
- Lifetime core access means the card, profile, and core networking tools carry no monthly fee.
- Sponsor and organizer reporting ties networking to measurable outcomes like connection counts and follow-up rates.
- Credit-based cloud tools keep heavy usage honest, since you only pay for what you actually run.
Cons
- Matching quality depends on attendees describing their intent clearly, so a room that skips this step gets weaker suggestions.
- Cloud features like campaign email and verified contacts are metered separately, which can add cost beyond the base plan for high-volume users.
- The product is built around events, so it does little for someone who networks mainly outside conferences and meetups.
Frequently asked questions
It's an AI networking platform for events. Its AI agent, LAVI, reads attendee goals and recommends matches, so people meet contacts who fit their intent instead of browsing a random list.
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