Tumai
Tumai provides AI agents that automate end-to-end real estate operations over WhatsApp, including rent collection, tenant communications, property evaluation, and reporting. The agents connect directly to clients' CRMs and use RAG and embeddings to intelligently process documents and workflow data. The system is built with Python, OpenAI Agents SDK, PostgreSQL, and React, with paying customers live in production across the US and Spain.
- Property Technology
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Real estate operations are fragmented across manual workflows, requiring property managers and owners to juggle rent collection, tenant communications, property evaluations, and reporting through separate tools and channels. This inefficiency leads to delayed responses, missed payments, and high administrative overhead, especially for small and mid-sized operators without dedicated staff.
Solution
Tumai provides AI agents that automate end-to-end real estate operations over WhatsApp, connecting directly to clients' CRMs. The agents handle rent collection, tenant communications, property evaluation, and reporting, using RAG and embeddings to intelligently process documents and workflow data. Pre-built, production-tested automation modules are customized to each client's specific business rules, enabling rapid deployment without extensive custom development. The system is built with Python, OpenAI Agents SDK, PostgreSQL, and React, ensuring a robust and scalable infrastructure for real-time operations.
Target Audience
Primary customers are real estate property managers, landlords, and real estate firms in the US and Spain seeking to automate routine operations and reduce administrative overhead.
Features
- AI agents that automate rent collection, tenant communications, property evaluation, and reporting over WhatsApp
- Direct CRM integration for seamless data synchronization and workflow management
- RAG and embeddings for intelligent document handling and context-aware responses
- Pre-built, production-tested automation modules customized to each client's business rules
- Built with Python, OpenAI Agents SDK, PostgreSQL, and React for scalable deployment