Client Success Stories

The Challenge

A Fortune 500 corporation needed to modernize their HR planning process. Their existing system required extensive manual work to create comprehensive HR plans, resulting in inconsistencies and delays across departments. The planning cycle took 6-8 weeks per department, with significant back-and-forth between HR teams and business units.

Our Solution

Digenelabs developed an AI-powered HR plan generation application integrated with their SuccessFactors instance. The solution included:

• Natural language processing to analyze historical HR plans and extract patterns
• Machine learning models trained on company-specific data to generate tailored HR recommendations
• Integration with SAP SuccessFactors for real-time employee data and organizational structure
• Intelligent workflow automation with role-based approvals through SAP BTP
• Dynamic template generation based on department type, size, and business objectives

Results

Technology Stack

The Challenge

A multinational corporation with 15,000+ employees across 40 countries needed a modern employee engagement and communication platform. Their existing intranet was outdated, with low engagement rates and no mobile support. They required a solution that could be deployed quickly to support critical change management initiatives.

Our Solution

Digenelabs developed a comprehensive social engagement platform with AI-powered features in just 60 days:

• Real-time news feed with AI-powered content recommendations
• Multi-language support with automatic translation for 12 languages
• Employee recognition system integrated with company values
• Sentiment analysis to gauge employee morale and engagement
• Mobile-first responsive design with native-like experience
• Integration with SAP SuccessFactors for employee profiles and org structure
• Advanced analytics dashboard for HR and leadership teams

Results

Technology Stack

The Challenge

A geospatial intelligence company needed to process and analyze massive amounts of satellite imagery data. Manual analysis was time-consuming and couldn't scale to meet growing demand. They required an AI solution that could automatically detect objects, classify terrain, and identify changes over time.

Our Solution

Digenelabs built a scalable AI-powered platform for automated satellite data analysis:

• Computer vision models for automatic object detection and classification
• Change detection algorithms to identify temporal variations
• Distributed processing pipeline handling petabytes of imagery data
• Interactive web-based viewer with real-time analysis results
• API for integration with customer workflows and GIS systems
• Automated quality assurance and validation workflows

Results

Technology Stack

The Challenge

A sports technology startup needed to build a comprehensive platform for analyzing athlete performance data. They required real-time processing of biometric data, video analysis, and predictive modeling to help coaches make data-driven decisions. The platform needed to handle multiple sports and scale to thousands of athletes.

Our Solution

Digenelabs developed an end-to-end sports analytics platform with advanced AI capabilities:

• Real-time biometric data processing from wearable devices
• Computer vision for automated video analysis and technique assessment
• Predictive models for injury risk assessment and performance optimization
• Interactive dashboards for coaches with actionable insights
• Mobile app for athletes to track personal progress and receive recommendations
• Multi-sport support with customizable metrics and KPIs

Results

Technology Stack