anny GmbH

The Problem

Organizations still manage resource bookings through frustrating request forms, out-of-sync Excel lists, and ping-pong communication. Most booking solutions lack flexibility for real-world use cases, are too expensive for multiple booking needs, and cannot handle complex rules (who can book what).

The AI Approach

anny is a modular all-in-one booking platform that treats everything restricted by time and availability as a resource – rooms, desks, equipment, and people. The system enables intelligent resource allocation with automated billing and seamless integration into existing calendars, smart locks, and visitor management.

Which AI insights this startup contributes from practice

AI Problem Space

• Automated optimization of resource utilization across heterogeneous booking types
• Prediction of booking demand and no-shows in enterprise environments
• Real-time matching of user preferences with available resources

Practice & Use-Case Signals

• Validated at REMONDIS (41,000 employees): 200 resources, 3,000 child resources across multiple subsidiaries
• LMU Munich: Sequential rollout across faculties with strict privacy requirements
• ARR expansion at LMU: €10,890 → €26,784 within one year through organic growth
• Multi-tenant architecture with various IDP connections works in enterprise context

Knowledge & Learning Signals

• Modular approach reduces dependency on single verticals and enables cross-sector synergies
• Community-driven features (viewing others bookings) increase adoption in organizations
• Outlook integration is critical for enterprise acceptance of room bookings
• Hybrid revenue models (subscription + transaction) work in B2B booking space