Interaction Transcription
Convert customer calls and other interactions into searchable records that help teams review conversations, identify patterns, and access important details more efficiently.
Discover how EmberQA helps contact centers turn customer interactions into searchable, actionable insights. Beyond transcription, the platform analyzes calls, SMS, emails, and documents with automated scoring, sentiment analysis, red flag detection, and coaching recommendations. Built for customer-facing teams across the United States, EmberQA helps managers improve QA coverage, consistency, and performance without relying on limited manual sampling.

Explore transcription-focused tools that turn customer interactions into searchable data, quality insights, risk alerts, and coaching opportunities.
Convert customer calls and other interactions into searchable records that help teams review conversations, identify patterns, and access important details more efficiently.
Apply custom quality scorecards and consistent rubrics across customer interactions, helping teams expand QA coverage beyond limited manual call sampling.
Detect hostile behavior, privacy violations, escalation risks, and recurring performance patterns while generating more targeted coaching recommendations for agents.
EmberQA goes beyond basic call center transcription by connecting searchable interaction records with automated QA scoring, sentiment analysis, red flag detection, and performance analytics. Teams can evaluate calls, SMS, emails, and documents using custom rubrics, verify CRM data alongside customer calls, and identify coaching opportunities from recurring patterns. The result is broader visibility and more actionable quality assurance for customer-facing organizations across the United States.

EmberQA combines transcription, quality assurance, risk detection, and coaching in one interaction analysis platform.
Evaluate every customer interaction instead of relying only on limited manual sampling and isolated call reviews.
Apply custom scorecards and quality rubrics consistently across calls, SMS, emails, and documents.
Surface hostile behavior, privacy violations, escalation risks, and other red flags through automated analysis.
Use recurring performance patterns and analytics to guide more focused, practical agent coaching.
Built by AI automation and contact-center software specialists.

CEO / Founder
RT Maddox is the CEO and Founder of EmberQA, an AI-powered quality assurance platform built for contact centers and customer-facing teams across the United States. With a background in AI automation and contact-center software, RT identified a critical gap between the volume of customer interactions companies handle and the limited manual sampling traditionally used to evaluate them. Drawing on years of hands-on collaboration with customer-obsessed organizations, RT led the development of EmberQA to bring automated scoring, red flag detection, and targeted coaching insights to a broader range of businesses. As founder, RT is focused on helping quality assurance teams move beyond guesswork, giving managers the tools to review every interaction and turn QA data into measurable performance improvement for their agents and their customers.

Head of Engineering
Ethan Shover serves as Head of Engineering at EmberQA, where he leads the technical development of the company's AI-powered quality assurance platform. Ethan is responsible for building the systems that allow EmberQA to analyze every customer interaction, apply consistent scoring rubrics, and surface urgent red flag alerts in real time. His engineering leadership ensures that the platform can reliably support office-specific QA workflows and integrate customer call data with CRM verification, giving quality assurance teams and contact centers a scalable, dependable tool for improving performance. Ethan brings a strong focus on building robust, high-performing software that translates complex AI automation into practical, actionable insights for organizations managing high volumes of customer interactions. His work is central to EmberQA's mission of transforming manual QA sampling into comprehensive, data-driven interaction analysis.
Call center transcription software converts recorded customer conversations into searchable text and often connects transcripts with quality assurance tools. EmberQA extends this capability by analyzing interactions across calls, SMS, emails, and documents. Teams can search for keywords, apply custom scorecards, identify red flags, review performance trends, and use interaction data to support more focused coaching.
Explore how EmberQA can support your quality assurance workflow.
Customer listed by EmberQA.
Customer listed by EmberQA.
Customer listed by EmberQA.
Customer listed by EmberQA.
Customer listed by EmberQA.
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