AppMatic Tech engineers AI lead-qualification agents for real estate that interpret buyer intent, match against live listings through governed tools, qualify budget and criteria, and book viewings, built with Node.js and LLM orchestration. Agents receive qualified, matched leads. 330+ products shipped since 2017.
Real estate agents waste time on unqualified enquiries and slow follow-up. AppMatic Tech builds an agent that qualifies leads against live listings and books viewings, so agents get matched, ready leads.
AI Agent Development Stack for PropTech
| Layer | What AppMatic Tech uses |
|---|---|
| Agent runtime | Node.js orchestration, tool-calling LLM |
| Data access | Listing and availability tools (often via MCP) |
| Qualification | Budget, criteria, and intent capture |
| Workflow | Listing matching and viewing booking |
| Audit | Conversation and lead logging |
How AppMatic Tech Delivers This
- Connect the agent to live listing and availability data.
- Qualify leads on budget, criteria, and intent.
- Match buyers to suitable live listings.
- Book viewings and hand qualified leads to agents.
- Validate against real enquiries and deliver with a support SLA.
Frequently Asked Questions
- How does the agent qualify leads?
- AppMatic Tech builds the agent to capture budget, criteria, and intent, then match against live listings, so agents receive qualified leads already matched to suitable properties.
- Can it book viewings?
- Yes. AppMatic Tech has the agent book viewings against agent availability, so a qualified lead converts into a scheduled viewing without manual back-and-forth.
- Does it use live listings?
- AppMatic Tech connects the agent to live listing tools, so matches reflect currently available properties rather than a stale export.
Further reading: AI Agent Development: Architecture Patterns from 12 Deployments