Guide

What's in the guide:

• Learn the five core pillars of evaluation to properly vet providers across quality, scalability, security, domain expertise, and technical integration.
  
  
• Discover how to audit a provider’s quality assurance workflow to distinguish between simple consensus and the high-level accuracy required for specialized AI models. 
  
  
• Identify the hidden costs of data labeling that often lead to higher long-term expenses through project management overhead and the need for frequent re-labeling.