
AmplifAI Quality Assurance
5.8#23 in customer service qa softwareWebAPISelf-hosted
Visit
| Fact | AmplifAI Quality Assurance | Voxjar |
|---|---|---|
| Calibration | Calibration workflows help evaluators, teams, and BPO partners score consistently, with dispute and appeal trails alongside the interaction and evaluation. | Calibration sessions compare AI and human evaluations of the same call so teams can align scoring standards. |
| Conversation intelligence | The platform analyzes sentiment, intent, topics, and behavior across scored interactions and surfaces trends and root causes. | Conversation intelligence extracts agent skills, topics, sentiment, summaries and coaching opportunities from calls. |
| Founded | 2018 | LinkedIn lists Voxjar as founded in 2015. |
| Headquarters | Plano, Texas, United States | LinkedIn lists headquarters in Provo, Utah, United States. |
| Integrations | AmplifAI describes a catalogue of more than 150 cloud, on-premise, and homegrown data sources, including Five9, Genesys, NICE CXone, Salesforce, Zendesk, and Calabrio. | Listed integrations include Aircall, Amazon S3, Azure Blob, CallTrackingMetrics, Convoso, Dubber, Five9, Google Cloud Storage, Genesys Cloud, GoHighLevel, Microsoft Teams, SFTP, Slack, Sweet Relish, TrackDrive, Vicidial, Vonage and Ringba. |
| Intended users | The QA program is described for QA analysts, team leaders, BPO partners, and quality leaders. | The Enterprise plan is described for BPOs, agencies, and organizations with special requirements. |
| Purpose | AmplifAI Quality Assurance transcribes and scores customer interactions and connects quality findings to coaching, performance, and recognition workflows. | Voxjar automates call monitoring and coaching, using AI to ingest, transcribe, and score interactions. |
| Security | AmplifAI says data is encrypted with 256-bit AES in transit and at rest, and customer environments are logically separated. | Voxjar states that it maintains SOC 2 Type II, encrypts data in transit and at rest, offers optional PII redaction and does not train models on customer conversations, transcripts or evaluations. |
No prices published.
The product is intended for QA analysts, team leaders, BPO partners, and quality leaders evaluating customer interactions. It may suit organizations that need quality workflows across human and AI-agent conversations.
Voxjar suits teams that want AI-assisted voice QA, call scoring, and coaching workflows. Its Enterprise plan is described for BPOs, agencies, and organizations with special requirements.