Head-to-head · Call Center Speech Analytics Software
QEval vs Level AI Contact Center Analytics
QEval leads on 0 checks, Level AI Contact Center Analytics on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreQEval · 8.8/10
- Most featuresQEval · 2 of 5
QEval scores higher on our rubric for call center speech analytics software: 8.8 against 8.5 out of 10; our editors rank them #5 and #8.
QEval is the better fit for enterprise omnichannel QA and compliance. Level AI Contact Center Analytics is the better fit for analytics-led contact-center operations.
- QEval fits best
Enterprise omnichannel QA and compliance
- Level AI Contact Center Analytics fits best
Analytics-led contact-center operations
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Side by side
| Feature | QEval 8.8/10 Visit ↗ | Level AI Contact Center Analytics 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.5 |
| Ranking | #5 in Call Center Speech Analytics Software | #8 in Call Center Speech Analytics Software |
| Best for | Enterprise omnichannel QA and compliance | Analytics-led contact-center operations |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Phone | Email, Phone · 24/7 |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS | SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, SSO/SAML, 2FA |
| Integrations | 80+ integrations | 4 integrations |
| Built for | Mid-market, Enterprise | Enterprise, Mid-market |
| Features QEval 2/5 · Level AI Contact Center Analytics 1/5 | ||
| Live call analysis | Not checked yet | Not checked yet |
| Sentiment analysis | ✓ | ✓ |
| Compliance monitoring | ✓ (best) | Not checked yet |
| Automatic topic detection | Not checked yet | Not checked yet |
| Agent coaching tools | Not checked yet | Not checked yet |
| Specs | ||
| Supported languages | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | QEval is an enterprise contact-center performance management platform from ETS Labs, an applied AI division of Etech Global Services LLC. It is designed for organizations managing human agents, AI agents, and hybrid interactions across… Read the review → |
Level AI Contact Center Analytics is a platform for enterprise customer-experience and contact-center teams that need to analyze conversations and operational performance across voice calls, chats, and emails. It brings QA scores, customer… Read the review → |
Strengths and trade-offs
QEval — where it wins
- Analyzes voice, chat, email, and SMS interactions
- Combines evaluation, coaching, redaction, and screen analysis
- Connects with major contact-center, CRM, and data platforms
Where it doesn't
- Pricing requires a sales conversation and order form or MSA
- The platform is delivered through web and API access
- No open-source edition is available
Level AI Contact Center Analytics — where it wins
- Analyzes voice calls, chats, and emails in one platform
- Combines dashboards, scorecards, alerts, benchmarking, and reports
- Supports natural-language analysis, AI Workers, APIs, and self-hosting
Where it doesn't
- Pricing is quote-based rather than publicly listed
- The listed integration set covers four platforms
- Its broad enterprise focus may exceed narrower analytics needs
- QEval8.8/10 · Pricing on request
A broad enterprise suite for omnichannel QA, compliance, coaching, and intelligence.
Visit QEvalFull verdict → - Level AI Contact Center Analytics8.5/10 · Pricing on request
A broad analytics suite for teams managing voice, chat, email, QA, and performance.
Visit Level AIFull verdict →
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- CallMiner Eureka vs Level AI Contact Center Analytics
- QEval vs Observe.AI Conversation Intelligence
All call center speech analytics software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





