Xiaoou AI Conference Organizer raises 2 million yuan to streamline end-to-end event ops
Xiaoou AI Conference Organizer closed a 2-million-yuan angel round from Xioou Investment Group. The mandate is clear: strengthen the backend, expand venue and event-publishing partnerships, and hire proven operators.
For product teams, this isn't a point solution. It's an attempt to standardize the full conference workflow and let AI handle the repetitive parts, end to end.
What they're building
The team deconstructed real offline playbooks from its parent company, Xioou Network, then rebuilt them as software and automation. That practical DNA matters more than a lab demo.
- Guest invitation management and tracking
- Personalized guest poster generation (30 seconds vs. 10-20 minutes by a designer)
- Intelligent agenda planning and conflict checks
- Press release drafting and distribution assistance
- Participant matching for higher-quality connections
It's process, then AI - not the other way around. Standardized steps, templates, and guardrails, with humans stepping in where judgment is required.
Traction and model
The product operates as SaaS with flexible payment: per event, annual subscription, or lifetime license. That widens the funnel for both SMEs and institutions.
They report profitability and service to 20+ organizers. Translation: pricing and usage are already lining up with value delivered.
Why product teams should care
- Solves a full workflow, not a feature. Point tools for venue search or ticketing exist; the gap is orchestration across the entire chain.
- Clear ROI levers: cycle time per task, error rate, staff hours saved, and on-site issue rate. Easy to instrument and report.
- Data loops: repeated agendas, guest profiles, and attendance patterns feed better recommendations. Add strict privacy and role-based access to keep trust.
- Integration surface: venues, media, and event-publishing platforms. An API-first approach turns the tool into a hub, not just an app.
- Healthy unit economics: high-margin AI features, modular packaging, and a land-expand path from per-event to annual.
Macro tailwind: enterprises are pushing for measurable productivity gains from AI. See the broader context in this McKinsey analysis.
How the workflow feels (poster example)
Organizer uploads guest info and a photo. The system applies brand-safe templates, auto-crops, sets hierarchy, and generates a finished poster in ~30 seconds. Variants are one click away.
Designers stay available for special cases, but the bulk gets handled in minutes, not hours. That's the difference between "we'll update it tomorrow" and "it's already posted."
Go-to-market and ecosystem
- Low-friction entry via per-event pricing; expand to annual once workflows stick.
- Partnerships with venues, media, and publishing platforms aim to make it the organizing hub - tools plus resources in one place.
Team and investor signal
Core members bring a decade in internet ops and event execution. That's how you get features that map to reality, and iteration that doesn't break the schedule.
The investor thesis centers on AI applied to vertical processes with heavy coordination and manual labor. Practical beats theoretical, especially where standardization is possible.
Risks and product questions
- Content accuracy and brand safety for generated materials - lock in review gates and audit trails.
- API fragility with partners - versioning, SLAs, and fallback paths are non-negotiable.
- Data governance - PII handling, consent, and clear retention policies.
- Seasonality of events - plan for usage troughs with pricing and adjacent use cases (community ops, webinars, roadshows).
What I'd build next
- No-code workflow builder with roles, SLAs, and auto-escalation.
- CRM sync for guest scoring, duplicate detection, and invite sequencing.
- Usage-based add-ons (generation credits, advanced matching), plus team seats for predictable ARR.
- Ops dashboard: time saved, cost avoided, and on-site issue rate - tracked per workflow.
Bottom line
Xiaoou AI Conference Organizer targets the whole process, not a slice. With industry playbooks, a flexible model, and early profitability, they've built an initial moat while the category matures.
If you're leading product in this space and want structured upskilling, explore AI courses by role here: Complete AI Training.
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