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.
AI-Powered Data Labeling at Hyperscale
Overview
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