AI-Powered Video Analytics Platform — Project Snapshot

• Industry: Media & Entertainment

• Client Type: Mid-sized video streaming service (confidential)

• Project Duration: 10 months

• Deployment: Cloud-based (DaaS model) on AWS with scalable architecture

The Challenge

Smaller and mid-tier video streaming services struggle to compete with giants like Netflix and Amazon due to limited access to advanced data infrastructure and AI-driven analytics. They face challenges in:

• Understanding viewer behavior and preferences

• Delivering relevant content recommendations

• Retaining users in a competitive OTT market

• Scaling analytics as the user base and content libraries grow

Our Solution

We developed a cutting-edge AI & Big Data platform tailored for the video industry. The platform empowers providers with real-time, predictive insights and enterprise-grade analytics once only accessible to the largest players. Key features included:

• 🎯 AI & ML algorithms for predictive analytics and personalized content recommendations

• ⚙️ Big Data processing with Apache Hadoop and Spark for high-volume data handling

• ☁️ Cloud infrastructure with auto-scaling storage and compute (AWS)

• 📊 Real-time dashboards for viewership patterns, retention metrics, and performance KPIs

• 🔄 Data-as-a-Service (DaaS) model to democratize analytics access across teams

• 🔐 Role-based access and secure API endpoints for third-party integration

The Impact

• 📈 35% increase in user engagement due to improved recommendation accuracy

• 🔁 20% boost in retention rates through actionable behavioral insights

• ⚡ Scalable architecture supporting 5x data growth with zero performance degradation

• 🧠 Faster decision-making across marketing, product, and content teams

Our Role

• ✅ Data architecture design & cloud infrastructure setup

• ✅ AI model development for recommendations & churn prediction

• ✅ Big Data pipeline engineering using Spark and Hadoop

• ✅ Dashboard & analytics layer with actionable visualizations

• ✅ Testing, deployment, and ongoing support

“The platform helped level the playing field—we can now compete using the same data firepower as the biggest names in the industry.”
— Product Director, Video Streaming Platform
(Client name withheld for confidentiality)