Grip

Grip is the most sophisticated AI matchmaking engine in the event tech space, purpose-built for large B2B trade shows and conferences. Its 16+ ML algorithms analyze both explicit preferences and behavioral signals to surface high-quality connections that attendees wouldn't find on their own. For organizers running shows with 5,000+ attendees, it delivers measurable ROI through qualified lead generation and sponsorship uplift. However, the enterprise-only pricing, 4-month implementation timeline, and lack of audience engagement features (no polls, Q&A, or gamification) mean it's not the right fit for smaller events or organizers who need an all-in-one platform.

Enterprise — custom pricing (contact sales)
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Tool Nutrition Label
Founded 2014
Headquarters London, UK
Company Size 50–100 employees
Funding Venture-backed ($14.5M raised; $13M Series A led by Kennet Partners, Feb 2021)
Pricing Model Subscription-based, custom quotes per event or annual license
Free Trial No self-serve free trial — demo available on request
Contract Annual subscription (custom terms)
Attendee Capacity Built for large-scale events (5,000–100,000+ attendees)
Mobile App Yes (iOS & Android) — attendee-facing app with AI recommendations, meeting scheduling, chat, and offline badge scanning (v10.30+)
Offline Capability Yes
Data & Compliance EU (London HQ); GDPR compliant
Expertise Level Advanced
Event Types
Trade ShowsConferencesB2B EventsCorporate EventsHybrid EventsVirtual Events
Key Integrations
Salesforce (Native) Visit by GES (Native) Registration API (push & pull) (API) Badge Printing Solutions (Native) CRM/Marketing Automation (API)
Support Channels
EmailDedicated Account ManagerHelp CenterPhone
Best For
  • + Large B2B trade show and exhibition organizers who need intelligent matchmaking at scale (5,000+ attendees)
  • + Event portfolios run by major organizers (Ascential, Hyve, Emerald, Clarion) who need a consistent networking layer across events
  • + Organizers focused on measurable lead generation and exhibitor/sponsor ROI
  • + Hybrid and virtual events that need AI-powered connection recommendations beyond basic attendee lists
Not For
  • Small to mid-size events under 1,000 attendees — the platform is overengineered and overpriced for this segment
  • Organizers who need audience engagement tools (polls, Q&A, gamification) as part of the networking platform
  • Teams with tight timelines — implementation takes ~4 months, so this won't work for a show launching in 6 weeks
  • Budget-conscious organizers looking for transparent, self-serve pricing
Key Capabilities
AI-powered matchmaking using 16+ ML algorithms that analyze explicit preferences and behavioral signals
Personalized attendee recommendations that improve as the event approaches and during the event
1:1 meeting scheduling with calendar management and conflict resolution
In-app messaging and chat between matched attendees
Badge scanning with offline capability for lead capture on the show floor
Lead retrieval and scoring tools for exhibitors and sponsors
Registration system with API integrations for existing reg platforms
Analytics dashboard with engagement metrics, meeting completion rates, and ROI reporting
Honest Limitations

No Gamification

Grip has no built-in gamification features — no points, leaderboards, challenges, or incentives to drive attendee engagement beyond the matchmaking itself.

Weak Audience Engagement

Polls, Q&A, and live interaction features are not mature or not present. You'll need a separate tool like Slido or Mentimeter for session engagement.

Opaque Enterprise Pricing

No published pricing, no self-serve tier, no free trial. You need a sales call to get a quote, making it hard to compare costs or budget without vendor engagement.

Long Implementation Timeline

Expect ~4 months from contract signing to go-live. This includes data integration, algorithm training, and configuration — not a plug-and-play solution.

Overkill for Small Events

The platform is architected for large-scale B2B events. For events under 1,000 attendees, simpler tools like Brella or B2Match deliver similar networking value at a fraction of the cost and setup time.

Pricing Breakdown
Plan Price Details
Enterprise License Contact for pricing Custom annual subscription based on event portfolio size, attendee volume, and feature requirements
Per-Event License Contact for pricing Single-event pricing available for large shows; typically bundled with implementation and support
Exhibitor/Sponsor Add-Ons Contact for pricing Lead retrieval, badge scanning, and premium placement features priced separately or as upgrades

Hidden Costs to Watch

  • ! Implementation and onboarding can take ~4 months of internal team time alongside Grip's team
  • ! Custom integrations (beyond standard API) may require additional professional services fees
  • ! ROI realization typically takes ~17 months from initial deployment

Grip is an AI-powered event networking platform founded in 2014 by Brent Hoberman and Tim Groot, headquartered in London. The platform has become the matchmaking engine of choice for some of the largest B2B trade show organizers in the world, including Ascential, Hyve, Emerald, and Clarion Events.

What sets Grip apart is the depth of its AI. Rather than simple profile matching, Grip deploys 16+ machine learning algorithms that combine explicit attendee preferences (who they want to meet, what topics they care about) with behavioral signals (which exhibitors they visit, which sessions they attend, which profiles they view). The result is a recommendation engine that gets smarter as the event approaches and throughout the live event itself.

For exhibitors and sponsors, Grip delivers measurable ROI through lead retrieval tools, badge scanning (including offline capability since v10.30), and qualified meeting facilitation. Organizers get a powerful analytics layer showing engagement metrics, meeting completion rates, and data to prove networking value to stakeholders.

The trade-off is clear: Grip is built for scale and sophistication, not simplicity. The enterprise-only pricing model means no transparency until you talk to sales, and the ~4-month implementation timeline means this is a strategic platform decision, not a quick tool purchase. For events under 1,000 attendees, tools like Brella or B2Match deliver solid matchmaking without the enterprise overhead.

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Alternatives

Brella

Networking-first event platform built around AI matchmaking, meetings, sponsor ROI, and integration into broader event stacks.

AI Networking & Engagement Paid

Self-service AI matchmaking with transparent pricing; better fit for mid-size conferences (500–5,000 attendees) that don't need Grip's enterprise overhead

Swapcard

Revenue-first event platform for exhibitions and conferences, built around annual subscriptions, exhibitor outcomes, networking, and event intelligence.

AI Event Planning & Management Paid

All-in-one trade show platform with stronger exhibitor management and built-in engagement features; less pure-play matchmaking but broader functionality

Bizzabo

Enterprise B2B event platform with modern UX, strong onsite tooling, and a rare published starting price for a premium all-in-one event OS.

Event Planning & Management Lead Retrieval Paid

Full Event Experience OS with networking, registration, content, and analytics in one platform; broader feature set but matchmaking is not as deep

Whova

Conference-focused all-in-one platform known for strong attendee networking, sponsor visibility, and time-saving event operations.

Event Planning & Management Lead Retrieval Paid

More affordable alternative with decent networking and engagement features; better for associations and academic conferences on tighter budgets

Questions to Ask the Vendor
  1. 1
    What is the minimum attendee count or event size to justify Grip's implementation and cost?
  2. 2
    Can you share anonymized ROI case studies showing meeting completion rates and qualified lead generation for events similar to ours?
  3. 3
    What does the 4-month implementation timeline look like week by week, and what internal resources do we need to commit?
  4. 4
    How does the AI handle cold-start for first-time events with no historical behavioral data?
  5. 5
    What happens to our attendee and meeting data after the contract ends — can we export it, and in what format?
  6. 6
    Do you offer a pilot program or single-event trial for new customers before committing to an annual license?
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