
Livsee provides agentic AI for multifamily leasing that connects prospect buying signals from chat conversations with real-time pricing decisions. Unlike traditional AI leasing tools that function as FAQ bots, Livsee's platform helps properties capture occupancy opportunities by acting on the intent renters express during digital conversations. The solution is designed for multifamily operators seeking to optimize leasing performance through intelligent, responsive automation.
Funding
Funding not disclosed

Founders
Product
Problem
Most AI leasing tools in the multifamily industry function as basic FAQ bots that answer questions but fail to act on the buying signals prospects share during chat interactions. This disconnect means properties miss opportunities to convert interested renters, leaving occupancy and revenue on the table.
Solution
Livsee provides agentic AI for multifamily leasing that connects the buying signals prospects share in chat with real-time pricing decisions. The platform goes beyond simple conversational responses by actively interpreting renter intent and translating it into actionable leasing actions. By linking prospect engagement directly to pricing and availability data, Livsee enables properties to respond dynamically to market demand and individual interest levels. This approach helps operators capture occupancy opportunities that traditional chatbot-style tools overlook, turning conversations into conversions.
Target Audience
Multifamily property operators, leasing teams, and real estate management companies seeking to improve lease conversion rates and optimize occupancy through AI-driven leasing automation.
Features
- Agentic AI that interprets prospect buying signals from chat conversations rather than just providing scripted FAQ responses
- Real-time pricing decision integration that connects prospect interest with current rate and availability data
- Leasing automation designed to optimize occupancy by acting on engagement signals as they occur
- Multifamily-specific AI trained on industry workflows and renter behavior patterns