Evaluating Speech-to-Text Quality: Beyond Word Error Rate
A look at why Word Error Rate alone isn't enough to evaluate speech-to-text quality, and which metrics actually predict downstream AI performance in contact center environments.
When the Call Runs Too Long: Modeling Outcomes for Long Conversations
In this post, we discuss four practical approaches for modeling outcomes on long conversations, each suited to different use cases and constraints.
How Cresta Scales Data Annotation With a Human-Supervised Multi-Agent System (MAS)
How do you scale high-quality data annotation without sacrificing rigor? In this post, we explore our multi-agent approach—combining multiple LLM annotators, structured deliberation, and human oversight—to replicate the discipline of expert human workflows at enterprise scale.
How We Built a State-of-the-Art Research Agent for Call Center Conversation Analytics
Take a deep dive into how we built Cresta AI Analyst, and all of the lessons learned along the way.
Evaluating Speech-to-Text Quality: Beyond Word Error Rate
A look at why Word Error Rate alone isn't enough to evaluate speech-to-text quality, and which metrics actually predict downstream AI performance in contact center environments.
When the Call Runs Too Long: Modeling Outcomes for Long Conversations
In this post, we discuss four practical approaches for modeling outcomes on long conversations, each suited to different use cases and constraints.
How Cresta Scales Data Annotation With a Human-Supervised Multi-Agent System (MAS)
How do you scale high-quality data annotation without sacrificing rigor? In this post, we explore our multi-agent approach—combining multiple LLM annotators, structured deliberation, and human oversight—to replicate the discipline of expert human workflows at enterprise scale.
How We Built a State-of-the-Art Research Agent for Call Center Conversation Analytics
Take a deep dive into how we built Cresta AI Analyst, and all of the lessons learned along the way.