How we built EventOS.
Plans who to meet at a trade show, guides you around the floor, briefs every meeting and turns notes into pipeline.
- Client
- EventOS
- Industry
- B2B AI for trade shows and events
- Market
- Global
- Engagement
- AI platform build
- Platforms
- Web app with a mobile layout
The problem to solve.
Attendees and exhibitors spend thousands on trade shows, then wander the floor, meet the wrong people and lose leads in a pile of badge scans.
“AI operating system for trade-show GTM.”The promise EventOS makes to its users
From brief to launch.
- 01
Discovery
Studied how attendees and exhibitors plan, walk and follow up at large trade shows.
- 02
Design
Designed goal-first planning: tell it what you want from the show, get a route and meetings.
- 03
Build
Built matching, floor navigation, meeting briefs, note capture and a light pipeline, with source labels on every data point.
- 04
Grow
Added a post-event exhibitor database for people who missed the show.
What we shipped.
Goal-based plans with priority companies, contacts, meetings and a route
A 12-month event calendar recommending whether to exhibit, attend, sponsor or watch
Floor navigation in 3D, 2D or list view with QR and compass positioning
One-screen meeting briefs
Notes by voice, text, card scan or QR, turned into contacts and next steps
A lightweight pipeline and a searchable post-event exhibitor database
Where AI does the work
- Matching companies and people to a stated goal, with reasons shown
- Drafted outreach that stays in review, never sent automatically
- Structuring meeting notes
- Source labels on every data point (verified, public, inferred)
Engineering choices.
- AI recommendations that explain themselves
- Human review before anything is sent
- Indoor navigation without special hardware
- Data provenance built into the product
Where it is today.
Figures as published by EventOS on eventos.repliantai.com, 22 October 2026.
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