Projects & Case Studies

Real systems designed and deployed to solve real operational challenges.

Integrated Data Management System

Integrated Data Management System

NGO / Institutional

Problem: Data was scattered across spreadsheets and disconnected tools, leading to inconsistencies and slow reporting.

Solution: We designed a centralized data management system aligned with real operational workflows.

Impact: Improved data accuracy, faster reporting, and clearer decision-making across departments.

Workflow Automation Platform

Workflow Automation Platform

Government / Public Sector

Problem: Manual approval processes caused delays, limited visibility, and accountability gaps.

Solution: We built a digital workflow platform with automated approvals and audit trails.

Impact: Reduced processing time and improved transparency and accountability.

Web-Based Management Dashboard

Web-Based Management Dashboard

Enterprise / Organization

Problem: Leadership lacked a single, reliable view of operational performance.

Solution: We delivered a secure web dashboard with role-based access and real-time analytics.

Impact: Centralized operational visibility and improved strategic oversight.

Mobile Data Collection Application

Mobile Data Collection Application

Field Operations

Problem: Paper-based field data collection caused delays and data loss.

Solution: We developed an offline-first mobile application for structured field data capture.

Impact: Reliable field data collection and faster synchronization for analysis.

Computer Vision Monitoring Solution

Computer Vision Monitoring Solution

Applied AI / Public Safety

Problem: Manual vehicle monitoring and license plate verification were slow, error-prone, and difficult to scale across multiple locations.

Solution: We developed a computer vision system that automatically detects vehicles, captures license plate numbers, and verifies them against a centralized database in real time.

Impact: Faster identification of reported vehicles, reduced manual workload, and improved accuracy in monitoring and verification processes.

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Nile Intellis designs systems grounded in real operational contexts — not templates, not theory.

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