We build custom AI systems for real estate companies, brokerages, and PropTech platforms , from AI property recommendations and automated valuation models to LangGraph lead agents and document processing. Built with LangChain, Qdrant, and PyTorch.
Every system connects to your property data, CRM, and workflows , designed to convert more leads and reduce operational overhead.
Semantic search and recommendation engine built with LangChain and Qdrant on your property database. Buyers find relevant listings with natural language queries , 'spacious 3-bed near top schools under $500K' , even without exact keyword matches.
LangGraph agents that qualify leads 24/7 , asking about budget, timeline, property type, and financing, then scoring leads, updating your CRM, and routing hot prospects to agents immediately. No lead goes uncontacted.
PyTorch regression models that estimate property values using comparable sales, location data, property features, and market trends. Achieves 3–5% median error on residential properties. Deployed via FastAPI for real-time valuation in your platform.
RAG-powered chatbot trained on your listings, neighborhood data, and FAQs. Buyers and renters get instant answers about properties, availability, and pricing , grounded in your actual data, not generic responses. Built with LangChain and Qdrant.
NLP pipelines that extract key terms from lease agreements, purchase contracts, and property disclosures , rent amounts, dates, renewal clauses, and obligations , automatically. Eliminates manual document review and reduces errors.
LangGraph agents that automate property management workflows , maintenance request routing, tenant communication, rent reminder sequences, and inspection scheduling. Reduces administrative overhead for property managers significantly.
Schedule a free consultation. We will review your platform, identify the highest-impact AI features, and outline a delivery plan.