The future of conference management with AI

Events management requires automation at difference stages: before, during and after the conference

Discover and book relevant key speakers

Discover and book relevant key speakers

Analyze and justify ROI for sponsors

Analyze and justify ROI for sponsors

Improve attendee's experience

Improve attendee's experience

Coordinate communication between all parties

Coordinate communication between all parties

Measure the event success

Measure the event success

Manage vendors, exhibitors, budgets, and venues in 1 tool

Manage vendors, exhibitors, budgets, and venues in 1 tool

Before the event

Plan and promote

During the event

Execute and engage

After the event

Nurture and analyze

Where innovation meets events: intelligent tools for every occasion

Scientific conferences

Automate peer reviews, connect researchers with shared interests, and provide real-time updates to streamline schedules 


Industry events

Match attendees with similar professional interests or complementary business objectives, facilitating meaningful connections and potential collaborations

Trade shows

Analyze attendee profiles and preferences to offer personalized recommendations for exhibitors, products, and networking opportunities, enhancing the attendee experience

Go from months of event planning to a few days of AI-assisted efficiency

50%

increase in network management

40%

increase in participant engagement