AI-Enabled Media Product

Client: Adtech Startup

A media firm deployed external capital investment to develop an AdTech product. However, the final product lacked accuracy and commercial viability, failing to meet initial performance expectations or justify the investment.

In a four-month intensive engagement, our team developed a streamlined framework to realign the product with the firm’s business KPIs for a high-performance solution:

​

• Defined Core Product Requirements Aligned with Business Objectives:
  Conducted in-depth analysis to translate business goals into clear product requirements, ensuring the product directly supported the strategic vision.
   

• Optimized AI Technology Stack for Efficiency:
  Identified off-the-shelf tools for automated metadata enrichment, reducing the need for extensive custom development.
   

• Developed Enhanced Taxonomies for Media Categorization:
  Designed customized, scalable taxonomies to optimize media classification, improving data relevance and system functionality.
   

• Proposed Scalable Product Architecture:
  Built a go-forward architecture utilizing the new taxonomies and advanced AI technologies, setting a foundation for sustainable growth and continued improvement.

OUTCOMES: 
 

• System Accuracy Increased from 50% to 90%+:
  Enhanced media categorization and enriched metadata led to dramatic improvements in product accuracy, transforming it into a reliable solution for clients.
   

• Accelerated time-to-market by 6 months and saved +$1M in development cost.
   

• Revenue Tripled in 36 Months:
  The optimized platform spurred revenue growth by 3x within three years, validating the transformation as a profitable and strategic asset for the firm and its investors.