An AI-Powered Property Inspection Platform for Home Buyers
GreenTag is an AI-driven property inspection platform that enables home buyers to scan rooms, detect structural and cosmetic defects using computer vision and large language models, generate localized repair cost estimates, and interact with an AI assistant for deeper insights.
Industry
Real Estate / PropTech / AI
Platform
iOS . Android
Launch
Nov 2025
Industry
Real Estate / PropTech / AI
Platform
iOS, Android
Launch
Nov 2025
About the GreenTag
This engagement followed a recovery trajectory. The Canadian software agency initially delivered the complete UI/UX design. The client then engaged another development team to build the system. After receiving a product that did not meet expectations, the client returned to us.
We began with a structured QA audit of the inherited codebase, documented defects and design deviations, and executed a remediation strategy. From that point forward, we took full ownership of development, stabilizing the platform, integrating the AI pipeline, implementing subscriptions and offline capabilities, and delivering the product through launch and post-production support.
Timeline
May 2025 – Ongoing
Total Development Effort
395+ hours across all disciplines
Team Size
4+ specialists
Key Deliverables
iOS/Android Mobile App
AI Chat Assistant
Cloud Backend
The Challenge
The Product Challenge
Buying property is one of the most financially significant decisions consumers make. Traditional inspection processes are:
- Expensive and time-bound
- Static and PDF-based
- Non-interactive
- Lacking cost transparency
- Difficult to compare across multiple properties
- Buyers needed:
- Instant defect detection
- Localized repair cost visibility
- Negotiation insights
- Multi-property comparison capability
- Offline usability in low-connectivity properties
The Delivery Challenge
After our design phase, a separate development team built the initial version of the product. The client returned to us due to:
- Functional defects
- Missing features
- Deviations from approved UI/UX
- Incomplete AI integration
- Architectural inconsistencies
Rather than starting from scratch, we inherited an unstable codebase and had to determine what could be salvaged, corrected, and extended without disrupting timelines further.
The Solution
Structured Recovery Approach
Instead of immediately resuming development, we began with a formal QA audit of the inherited system. This gave the client a documented baseline and enabled us to define a targeted remediation roadmap.
Phase 1: Audit & Gap Identification
- Functional testing against original design specifications
- Codebase architecture assessment
- Documentation of missing features
- Cross-platform validation
Phase 2: Stabilization & Alignment
- UI corrections to match the original design
- Backend API fixes
- Architectural cleanup
- Missing feature implementation
Phase 3: Full Feature Completion
- AI detection pipeline integration
- Subscription management
- Offline capture mode
- Multi-currency support
- AI issue grouping enhancement
The system was brought to production without requiring a full rebuild, preserving prior work where feasible while correcting critical gaps.
Core Platform Features
GreenTag delivers a full inspection lifecycle — from room capture to AI-powered reporting and advisory assistance.
AI-Powered Defect Detection
Users capture room images via camera or gallery upload. The system processes images using:
- GPT Vision classification
- Severity scoring (Low / Medium / High)
- Confidence scoring
This automates what would traditionally require an on-site inspector.
Localized Cost Estimation
Each detected defect includes:
- Min/max repair cost range
- Regional labor/material calibration
- Country-specific currency support (USD, CAD, GBP, AUD, NZD, and more)
This provides buyers with negotiation leverage and financial clarity.
AI Issue Grouping
When multiple images from the same room are analyzed, GPT consolidates related findings into unified issue entries, eliminating duplication and producing cleaner reports.
Property & Room Inspection Reports
Two report levels are generated:
- Room-Level Reports (defects, severity distribution, cost totals)
- Property-Level Reports (aggregate cost summary, executive overview)
Available formats:
- In-app structured view
- PDF export
- Excel export
Reports are stored securely in AWS S3.
Dena AI Chat Assistant
Dena is an in-app AI assistant powered by:
- LangChain
- OpenAI GPT models
- PostgreSQL vector knowledge base
Users can:
- Ask defect-specific questions
- Upload images for context
- Get region-specific hazard insights
- Maintain conversational context within sessions
Offline Capture Mode
Designed for rural or low-connectivity properties.
- Local storage via Zustand + AsyncStorage
- Background sync on reconnection
- Lifecycle status tracking
- Automatic retry handling
Multi-Tier Subscription System
Managed via RevenueCat with server-side enforcement.
Plans include:
- Glance (Free) – Limited properties
- Full View – One-time purchase
- Deep Dive – Full defect detection + export
- Pro Monthly / Yearly – Unlimited properties
- Extra Property Add-On
Webhook validation ensures subscription integrity across the Apple App Store and Google Play.
Push Notifications & Alerts
- Firebase Cloud Messaging
- Report-ready notifications
- In-app alert history
- Deep-link routing
Social Authentication
- Apple Sign-In
- Google OAuth
- Email/password with OTP verification
Fully compliant with App Store policies.
The Modern Stack Behind the Software.
A modern, production-ready stack was selected to support real-time interactions, cross-platform mobile delivery, and scalable deployment.
Core Technologies
React Native 0.79
TypeScript
RevenueCat SDK
Firebase Messaging
Expo Camera, Notifications, Print
Node.js (v20+)
Express
MongoDB (Mongoose)
PostgreSQL + pgvector
LangChain
Agenda
JWT Authentication
Supporting Infrastructure & Services
AWS S3 (file storage)
Docker / Docker Compose
Expo EAS (mobile builds)
OpenAI GPT (Vision + Chat)
RevenueCat
Firebase FCM
SendGrid
Project Timeline
The full product, including mobile apps, backend systems, and admin panel, was completed in approximately 8 weeks, followed by store submission and a 30-day free support window.
- May – June 2025
UI/UX Design Phase
Complete mobile app design including onboarding, scanning flow, reporting, and chat interface.
- August 2025
QA Audit of Inherited System
Functional and architectural audit of the prior team’s implementation. Documentation of defects and deviation mapping.
- August – September 2025
Remediation & Core Feature Completion
- Backend stabilization
- AI pipeline integration
- PDF/Excel report generation
- Push notification integration
- Chat assistant implementation
- November 2025 – Ongoing
Support & Maintenance
- Complimentary post-launch support
- Structured paid support plan
- Minor production refinements
- November – December 2025
Post-Launch Feature Enhancements
- Multi-currency support
- AI issue grouping with multi-photo correlation
- September 2025
Subscription & Offline Architecture
- RevenueCat integration
- Server-side plan enforcement
- Offline capture system
- Background sync architecture
- Results
Subscription & Offline Architecture
Through structured execution and technical leadership, the Canadian software agency successfully stabilized, completed, and launched GreenTag into production.
- Delivered
Delivered to Production Successfully
GreenTag was stabilized, completed, and launched successfully across mobile platforms after a recovery engagement.
Key Outcomes
GreenTag is live across supported regions.
Platforms launched: iOS App Store & Google Play
0
Week end-to-end delivery from kickoff to live
0
Development hours across all disciplines
0
+
Pull requests merged across API & UI repositories
0
+
User roles supported: Buyer, Seller, Admin
0
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Frequently Asked Questions
How much does mobile app development cost in Canada?
The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
How long does it take to build a mobile app?
The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
What is the difference between native and cross-platform app development?
The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
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The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
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Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
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The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
Do you offer post-launch support and maintenance?
The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
Can you scale an existing application?
The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
What is the cost of custom software development in Canada?
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The cost of mobile app development in Canada typically ranges from $10,000 to $150,000+, depending on the complexity, features, and platforms involved. A basic MVP app may cost between $10,000–$25,000, while more advanced applications with integrations, real-time features, or AI capabilities can exceed $100,000.
Factors affecting cost include UI/UX design, backend infrastructure, APIs, scalability requirements, and whether the app is built natively or cross-platform
What is the best tech stack for mobile app development?
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See GreenTag in Action
GreenTag is live across supported regions.