From Studio to Screens:
AI Built for How Media, Sports &
Entertainment Actually Works

Challenge: Scaling the classification of millions of ad creatives with inconsistent manual tagging.

Solution: GenAI pipeline for automated classification with human-in-loop validation.

Impact: 95%+ accuracy, 5x faster processing, 40% cost efficiency.

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Challenge: Manual, time-intensive validation of non-standard scheduling data.

Solution: Automated comparison and validation using AI-powered workflows.

Impact: 80%+ reduction in manual effort, 4x faster discrepancy detection, 95%+ accuracy.

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Challenge: High volume of rights conflicts causing revenue leakage and delays.

Solution: Automated rights validation with structured workflows and metadata standardization.

Impact: 40% faster conflict resolution, 12% reduction in revenue leakage, 15% royalty protection.

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Challenge: Fragmented viewership and ratings data across multiple sources slowed and inefficient audience analysis and decision-making.

Solution: Built a centralized insights platform for TV audience analytics, viewership intelligence, consumer profiling, and cross-source data analysis.

Impact: 80% reduction in data extraction effort, ~50% reduction in analytics and communication effort, and turnaround times reduced from days/weeks to minutes.

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Challenge: Inconsistent and manual evaluation of player medical records across seasons, leading to delays, subjectivity, and a lack of standardized insights.

Solution: LLM-based system to extract, structure, and analyze player medical data, enabling automated scoring and risk evaluation with consistent, data-driven outputs.

Impact: 98% reduction in turnaround time (hours to minutes) and 90–95% accuracy in capturing key medical insights, improving reliability of player assessments.

Challenge: Legacy DMS with limited scalability, outdated architecture, and high maintenance effort impacting agility and performance.

Solution: AI-enabled migration to a modern web-based ecosystem using automated code generation, reverse engineering, and structured documentation for seamless transformation.

Impact: 50% boost in development speed through AI automation and 1:1 functional parity achieved across systems, enabling faster and scalable operations.