CallMiner Eureka vs Level AI Contact Center Analytics
CallMiner Eureka
callminer.comLevel AI Contact Center Analytics
thelevel.aiSide by side
| Figure | CallMiner Eureka | Level AI Contact Center Analytics |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Contact Center Analytics Software | 7.6 (#9) | 7.7 (#8) |
| Spec score · Support Analytics | 7.5 (#10) | 7.8 (#8) |
| Spec score · Call Center Speech Analytics Software | 7.5 (#17) | 7.7 (#13) |
| Spec score · Customer Experience Analytics Software | 7.6 (#13) | 7.7 (#12) |
| Headquarters | Waltham, Massachusetts, United States | Mountain View, California, United States |
| Purpose | Eureka combines AI-powered conversation intelligence, automation, and agent augmentation to improve customer experience and reduce operational costs. | The analytics platform analyzes calls, chats, and emails to surface agent and team performance, QA scores, CSAT, call drivers, trends, and contact center KPIs. |
Plans
Level AI Contact Center Analytics
- Level AI Contact Center AnalyticsPriced on request
In their own words
CallMiner Eureka
CallMiner Eureka is a conversation-intelligence platform for analyzing customer interactions and supporting agent performance. It captures voice and digital conversations, examines customer journeys, scores performance, and labels transcripts for sentiment and emotion to help identify root causes. Coach offers automated scoring, data-based feedback, and progress monitoring, while RealTime gives agents next-best-action guidance during interactions. The platform also includes customer outreach campaigns and voice-optimized virtual agents. Eureka Redact identifies and removes sensitive numeric data from conversations. CallMiner describes connections through APIs, connectors, and the Open Voice Transcription Standard, with integration examples including Genesys, Google speech-to-text, Five9, Twilio, and Zendesk. It says third-party audits cover SOC 2 Type II, FISMA, HITRUST, ISO 27001:2022, and PCI DSS controls and compliance. Subscription packages are described as spanning midsize teams with more than 60 agents through global enterprises; pricing depends on user count or interaction volume, analytics modules, integration needs, and possibly cloud or hybrid deployment. Pricing is on request.
Level AI Contact Center Analytics
Level AI Contact Center Analytics brings calls, chats, and email data together with QA scores, customer feedback, and performance measures. It helps contact center teams examine agent and team performance, customer sentiment, call drivers, and operational trends. Tracked measures include QA Score, InstaScore, iCSAT, sentiment, customer effort, resolution status, NPS, CSAT, average handle time, and first contact resolution. Users can build filtered reports, compare agents or teams, track KPIs, and review historical trends. Dashboards cover QA performance, coaching, auditor performance, Voice of the Customer, and conversation insights. AI Workers answer natural-language questions about contact center data; scheduled reports and threshold-based alerts can also send updates or activate AI Workers. Dashboards export as PDFs, while role-based permissions separate individual, team, and organization-wide views. Integrations include Five9, Amazon Connect, Talkdesk, Genesys, Salesforce, Zendesk, Snowflake, and Microsoft Teams. The product is available on web and via API. Pricing is on request.