Case Studies – Techman Talent

AI-Powered Real Estate Intelligence Platform

6-Month MVP Build for a Canada-Based PropTech Startup

Overview

A Canada-based startup in the real estate technology space partnered with Techman Talent to
build an AI-driven SaaS platform designed to modernize how professionals qualify, manage,
and collaborate on property leads.
The vision was to transform unstructured conversations into structured, actionable intelligence
while enabling seamless referrals between agents, brokers, and financial professionals.
The engagement focused on delivering a production-ready MVP within six months.
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Engagement Structure

To execute efficiently and maintain delivery velocity, we deployed a structured engineering pod:
• 2 Senior Full Stack Developers (Full-Time Allocation)
Responsible for architecture, backend systems, frontend dashboard, integrations, database
modeling, and cloud infrastructure.
• 1 AI Automation Engineer (Part-Time Allocation)
Focused on LLM integration, structured data extraction, prompt engineering, and intelligent
lead scoring systems.
Techman Talent also provided centralized architecture oversight, sprint planning, milestone
governance, and quality supervision throughout the engagement.
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The Challenge

The startup identified several inefficiencies in traditional real estate workflows:
• Manual qualification of inbound leads
• Fragmented communication across professionals
• No structured way to score buyer/seller intent
• Limited referral tracking and ownership logic
• Disconnected billing and subscription systems
They required a scalable SaaS foundation capable of:
• Converting natural language into structured CRM-ready data
• Managing multi-role collaboration
• Automating referral intelligence
• Supporting subscription-based monetization
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Technical Architecture

Frontend Layer
• Next.js (App Router architecture)
• TypeScript-based component structure
• Role-based dashboards (Agent, Broker, Admin)
• Real-time UI updates
• Analytics and lead heat visualization
The system was designed with scalability and maintainability in mind, implementing modular
component patterns and performance optimizations for fast rendering and SEO readiness.
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Backend & Core Services

• Node.js-based RESTful APIs
• Modular service-oriented structure
• Role-based access control system
• Lead scoring abstraction layer
• Referral ownership tracking
The backend was architected to ensure data integrity across multi-entity relationships while
preserving structured ownership logic.
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AI Integration Layer

The part-time AI Automation Engineer focused on designing the intelligence engine:
• OpenAI-powered natural language parsing
• Structured JSON extraction from conversation flows
• Lead heat scoring logic
• Context preservation across referral chains
• Scalable prompt engineering architecture
This layer transformed conversational inputs into database-ready structured records without
manual intervention.
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Infrastructure & DevOps

• Cloud-based deployment environment
• Environment isolation (staging + production)
• Subscription billing integration
• CI/CD pipeline implementation
The platform was built with scalability and future expansion in mind.
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Development Timeline (6 Months)

Phase 1 – System architecture & database modeling
Phase 2 – Core API & authentication layer
Phase 3 – AI extraction engine implementation
Phase 4 – Dashboard & referral workflows
Phase 5 – Subscription integration & environment setup
Phase 6 – Testing, optimization & launch readiness
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Outcomes

• Fully functional MVP ready for early-stage user onboarding
• Significant reduction in manual lead qualification effort
• Structured AI-powered lead prioritization
• Centralized collaboration workflow
• Scalable SaaS foundation for future feature expansion
The client successfully transitioned from concept to a production-ready system within six
months, supported by a structured engineering framework

At Techman Talent, we deliver pre-vetted offshore tech talent to businesses in just 48 hours, streamlining hiring while reducing overhead.