๐Ÿš€ Inspiration Managing rental properties is time-consuming, stressful, and full of repetitive tasks โ€” especially for landlords with listings across platforms like Airbnb and Booking.com. We saw a massive opportunity: what if an AI agent could handle everything a property manager does โ€” instantly, autonomously, and with a human touch? Thatโ€™s how TUMai Lagent was born โ€” to transform property management into a fully automated, intelligent experience.

๐Ÿค– What it does

  • TUMai Lagent is an end-to-end property management platform powered by agentic AI that integrates with major platforms like Airbnb and Booking.com. It autonomously:
  • Responds to guest inquiries in real-time, even during emergencies
  • Calls plumbers, handymen, and cleaners when needed
  • Orders replacement furniture or suggests buying options in-app
  • Knows every detail about the property and its neighborhood
  • Syncs all communications into a unified inbox
  • Provides 24/7 intelligent support that feels human and personal
  • Itโ€™s like having a full-time property manager โ€” minus the overhead.

๐Ÿ› ๏ธ How we built it

  • Our custom agentic AI stack uses a combination of LLMs and action-routing pipelines to interpret tenant requests and autonomously take actions like calling services or ordering replacements.
  • We layered in property-specific context memory and retrieval-based QA for hyper-personalized answers.
  • The unified inbox was built using React and Superbase, syncing all platforms in real-time.
  • Emergency-handling logic connects with service APIs (e.g. Twilio, Zapier, Amazon) to trigger real-world actions like phone calls or orders.

โš ๏ธ Challenges we ran into

  • Designing AI agents that donโ€™t just chat but act safely and reliably.
  • Building a scalable system that can manage real-world consequences (e.g. sending a plumber, ordering the right sofa).
  • Integrating multiple rental platforms into one seamless interface.
  • Training AI to understand the nuances of guest emotions, urgency, and local context.

๐Ÿ† Accomplishments that we're proud of

  • Developed a fully functional prototype enabling centralized property management
  • Deployed Agentic AI v1, capable of handling guest inquiries, emergencies, and automated service calls within a test environment
  • Simulated real-world scenarios like broken appliances, emergency plumbing, and replacement ordering โ€” all handled autonomously by the AI
  • Built a unified inbox prototype that consolidates guest communications across platforms into one sleek interface
  • Designed and validated advanced agent modules for future expansion, including property knowledge, sentiment detection, and neighborhood intelligence

๐Ÿ“š What we learned

  • AI agents can go far beyond chat โ€” if you design them to act with autonomy and real-world impact.
  • Landlords deeply value speed, trust, and zero effort โ€” and will switch tools for a solution that delivers those.
  • Simple UX + powerful automation = massive market potential.

๐Ÿ”ฎ What's next for TUMai Lagent Launching in 3 key European cities this year

Expanding our agent marketplace with plug-and-play modules: โ†’ Legal compliance โ†’ Predictive maintenance โ†’ Multilingual onboarding โ†’ Reputation/review optimization

Partnering with PMS providers and scaling referral-based growth

Building toward our vision of 100M+ stays managed by AI

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