AI-Powered Data Labeling at Hyperscale

Overview

Our client is a Fortune 100 technology company that relies on large-scale, high-quality labeled data to power next-generation voice-enabled AI experiences across multiple products.

Business Complexity

Scale AI data labeling across multiple products while eliminating duplicate effort, improving annotation quality, and accelerating delivery for next-generation voice-enabled AI experiences.

Action

  • Built an AI-driven data labeling platform with automated workflows.
  • Established scalable data infrastructure with intelligent tracking to streamline annotation.
  • Reduced duplication and enabled high-quality dataset creation across devices and products.
  • Delivered a scalable AI data platform that unified labeling operations, automated review workflows, and generated trusted datasets for millions of voice utterances.

Tech Stack

  • Tableau
  • PHP
  • Haack
  • SQL
  • React.JS
  • jQuery

Impact

  • 15M+ Voice Utterances Processed
  • 100 Operational Dashboards Delivered
  • $8M Estimated Cost Savings