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Data Engineering
All Industries
Challenge

Quext partnered with Ideas2IT to build a real-time integration engine connecting IoT, CRMs, and property management systems, powering 29 communities and over 4,850 devices with seamless automation and scalable performance.

Reduced
Community onboarding time
Improved
Tour scheduling & unit status
Enhanced
IoT devices integration
Data Modernization
Data
All Industries
Challenge

Fragmented legacy systems slowed growth and raised risk. The QMS provider needed a secure, automated path to unify terabytes of compliance data into a multi-tenant SaaS platform.

10TB+
Data - file size per customer
36%
Reduction in maintenance cost
10K - 20K
Tables - Migration per customer
App Modernization
Agentic AI
Manufacturing
Challenge

Rigid SAP HANA systems stalled real-time insights and ML adoption. The supply chain needed to break free from static ERP analytics and move to an AI-ready, cloud-native data foundation for predictive, scalable decision-making.

↑ 15%
Production Yeild
↑ 20%
Supply chain efficiency
↓ 10%
Delivery time
AI Development
Custom Software Development
Manufacturing
Challenge

Billions are lost each year to downtime that could have been prevented. The goal: make predictive analytics practical, fast, and operator-ready.

400%
Faster file ingestion speed
70%
Lower ML deployment cost
300%
Reduction in infra cost
Testing
Education
Challenge

The platform lacked adaptive intelligence, onboarding was static, educators had no AI tools for personalization, and gamification was detached from progress making it hard to deliver engaging, outcome-driven learning.

Increased
Daily Engagement
Higher
Platform Stickiness
Reduced
Friction
BI & Analytics
All Industries
Challenge

Every dashboard change depended on IT. Logic was duplicated across workbooks. Governance was inconsistent.

60%
Reduction in development turnaround time
40%
Decrease in support ticket
75%
Reuse standardized semantic Layer