Interaction Scoring
Apply customizable QA scorecards to calls, SMS, emails, and documents. EmberQA helps teams evaluate interactions consistently and expand review coverage beyond limited manual sampling.
Compare AI text analysis capabilities for customer-facing teams that need clearer insights from calls, SMS, emails, and documents. EmberQA applies customizable scorecards, sentiment analysis, red flag detection, keyword search, and data extraction to turn interaction data into actionable quality improvements. Built for contact centers and organizations across the United States, it helps teams analyze more interactions with less manual review.

Analyze customer interactions with automated scoring, risk detection, searchable transcripts, and coaching-focused performance insights.
Apply customizable QA scorecards to calls, SMS, emails, and documents. EmberQA helps teams evaluate interactions consistently and expand review coverage beyond limited manual sampling.
Identify hostile behavior, privacy violations, escalation risks, and other configurable concerns across customer interactions so managers can focus attention on urgent quality issues.
Use sentiment analysis, performance patterns, and real-time analytics to recommend more targeted coaching and give managers clearer visibility into agent development opportunities.
EmberQA helps contact centers and customer-facing teams move beyond manual review by analyzing calls, SMS, emails, and documents with customizable rubrics. Automated scoring, sentiment analysis, red flag alerts, transcript search, and data extraction make quality data easier to understand and act on. Workflow automations can also connect insights with CRM and ticketing processes.

EmberQA combines comprehensive interaction analysis with practical quality assurance workflows.
Review more customer interactions without adding the manual workload associated with traditional sampling.
Apply customized rubrics across interactions to support more objective and comparable quality evaluations.
Turn recurring performance patterns into focused coaching recommendations for agents and managers.
Trigger actions in CRM and ticketing workflows using analysis, red flags, and extracted interaction data.
AI and contact-center software experience guides EmberQA's product vision.

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.
The best AI depends on the type of text, workflow, and outcome you need. For customer-facing teams, EmberQA is designed to analyze calls, SMS, emails, and documents through customizable scorecards, sentiment analysis, red flag detection, transcript keyword search, and data extraction. It is especially suited to contact centers and organizations that want quality insights connected to coaching and operational workflows.
Talk with EmberQA about turning interaction data into actionable quality insights.
Customer using EmberQA
Customer using EmberQA
Customer using EmberQA
Customer using EmberQA
Customer using EmberQA
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