
Client Overview
Verento is a Dubai-based AI property scanner app that provides forward-thinking real estate solutions. It has a deep understanding of the challenges faced by both tenants and lessors while handing over property. By leveraging advanced AI technology, Verento streamlines the entire rental journey by offering fast, transparent, and data-backed property matching.
They wanted to create a platform that could deliver accurate, fast, and personalized rental recommendations. Their mission is to modernize the rental experience and empower tenants with smarter, data-driven insights about the property they choose.
Industry
Real Estate
Company size
200+
Region
GCC
Target customers
Professionals relocating for jobs
Expats moving to the UAE
Tenants with urgent move-in needs
Business Situation
Business Challenges
Verento lacked a mobile app, limiting its reach to potential tenants and lessors. This made property discovery and engagement slower, reducing customer satisfaction and business growth opportunities.
Technical Challenges
Integrating AI-driven property scanning into a user-friendly mobile interface posed significant technical hurdles. Property recommendations and seamless performance for backend development and real-time data handling.
Operational Challenges
Managing rental listings and tenant interactions manually was time-consuming and error-prone. Automating property matching, verification, and notifications was essential to streamline operations and improve overall efficiency.

Why Did They Choose TechGropse?
After proper market research and thorough analysis, Verento chose TechGropse to develop a mobile app with advanced technologies. With a strong focus on innovation, reliability, and timely delivery, TechGropse operated to provide its clients with a scalable solution that not only met their current needs but also positioned them for future growth.
Business Solution We Provided
To transform Verento’s revenue generation capability, we addressed the challenge of the non-availability of its online platform. We helped them get a comprehensive cross-platform mobile application integrated with AI and ML. Once launched, the mobile app secured a good position in the Play Store with the highest ratings.
Requirement Gathering & Analysis
Market Research & Competitor Analysis
Wireframing & UI/UX Design
AI Model Planning & Data Preparation
Backend & API Development
Mobile App Development (iOS & Android)
AI Integration & Testing
Quality Assurance & User Testing
Launch and Support
Key Features Delivered
Image Capture & Documentation
AI-Powered Image Analysis
Move-In Inspection
Move-Out Inspection
Damage Assessment & Cost Estimation
Digital Inventory Management
Reporting & Documentation
Payment Gateway Integration (Stripe/Apple Pay)
AI-based Comparison
Tech Stack Used
Frontend
-

React (A JavaScript library for building user interfaces)
Backend
-

Node.js (A JavaScript runtime environment)
Database
-

MongoDB (A NoSQL database program)
Cloud
-

AWS (Amazon Web Services, a comprehensive cloud computing platform)
AI
-

ChatGPT/OpenAI (AI/LLMs)
Results & Outcomes
Operational cost reduced
Customer retention increase
BEFORE
No mobile app, limiting tenant and lessor access to the platform.
Tenant-property matches were often inaccurate, causing dissatisfaction.
Manual operations for property management and tenant communication.
Limited user engagement due to a lack of an interactive digital platform.
Slow rental process affecting lease conversions
AFTER
Mobile app launched, increasing platform accessibility and tenant reach by 35%.
AI recommendations improved match accuracy by 50%, providing tenants with relevant property options that they can document and verify during move-out.
Automated matching and notifications reduced workload by 70%, streamlining operations.
App engagement increased by 45%, keeping users actively involved with listings.
Faster, AI-driven property discovery increased successful lease agreements by 30%.
Verento: AI Property Scan
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