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SpeedLead

AI speed-to-lead platform that replies in seconds, not hours.

A full-stack, multi-tenant SaaS that captures every inbound inquiry across WhatsApp, portals, and web forms, qualifies it with an AI agent, and escalates warm leads to brokers with an automated voice call — piloted across Dubai and India.

SpeedLead cover

Median response time

32 min → <12 sec

Lead-to-meeting conversion

3.1×

After-hours engagement

4× uplift

Leads fully AI-nurtured

~55%

Role

  • Product & architecture
  • Full-stack engineering
  • LLM orchestration
  • Voice AI integration

Stack

  • FastAPI
  • React
  • PostgreSQL
  • OpenAI
  • VAPI
  • WhatsApp Cloud API
  • Docker
  • Redis

The problem

Real estate is a speed-to-lead game — 35–50% of sales go to the first responder, yet the average brokerage takes 30+ minutes to reply and more than 60% of leads never get a second follow-up. Brokerages were juggling WhatsApp, Meta ads, property portals, and web forms with no unified pipeline, and high-intent buyers were slipping to faster competitors.

What we built

01

Unified lead ingestion

A channel-agnostic ingestion engine that captures leads from WhatsApp, Meta ads, property portals, web forms, and manual entry into a single, multi-tenant pipeline with per-brokerage isolation.

02

AI conversational agent

An LLM-powered agent that replies within seconds in the lead's preferred language, qualifies budget, intent, and timeline, and maintains context across multi-day conversations. Every client can tune prompts, working hours, follow-up cadences, and property catalogs without touching code.

03

Automated outbound voice

A VAPI-powered voice agent picks up warm leads the AI has qualified and connects them to a human broker — or leaves a voicemail that actually converts. Escalation rules are configurable per client.

  • Warm-lead detection based on AI qualification score
  • Live transfer to the on-call broker
  • Voicemail drop with context from the conversation
04

Operator dashboard

A broker-facing dashboard with real-time analytics, lead lifecycle tracking, AI response metrics, call logs, and configurable escalation rules. Every surface — from the lead state machine to the UI — was designed with intent.

Selected screens

Lead feed with channel attribution and AI-to-human handoff
Lead feed with channel attribution and AI-to-human handoff
Per-client agent availability and escalation hours
Per-client agent availability and escalation hours

Highlights

  • Multi-tenant stack shipped across UAE and India markets
  • Per-client analytics isolation with shared infrastructure
  • Dockerized deployment ready for any brokerage's cloud
  • End-to-end revenue system, not a bolt-on chatbot

Planning something in the same shape?

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