CallMiner Eureka

CallMiner Eureka is an enterprise conversation intelligence and CX automation platform that analyzes 100% of omnichannel customer interactions—voice, chat, email, SMS, web, and social—at scale.

Reviewed by 7wData

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Publisher review

CallMiner Eureka is an enterprise conversation intelligence and CX automation platform that analyzes 100% of omnichannel customer interactions—voice, chat, email, SMS, web, and social—at scale. Founded by Jeff Gallino in 2002 and headquartered in Waltham, Massachusetts, CallMiner operates as a leader in AI-powered speech analytics for contact centers. Eureka captures conversations, applies machine learning for sentiment and intent analysis, autoscores interactions, and surfaces patterns and behavioral traits.

The platform extends beyond analytics: it includes agent coaching with real-time guidance, predictive scoring, multilingual transcription and translation, virtual agents for proactive outreach, and process automation. Eureka integrates with Genesys, Salesforce, Five9, Oracle, Twilio, and AWS. The platform serves mid- to enterprise contact centers across financial services, healthcare, retail, and tech.

Key use cases span quality management, compliance, fraud detection, and agent performance optimization. Deployment is cloud-based, accessible via web and mobile apps (iOS/Android). CallMiner serves 550+ customers globally and employs ~300 staff. The vendor emphasizes 24/7 support, live training, webinars, and documentation, though pricing is custom and not publicly listed.

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How it works

  1. 100% Conversation Capture and Transcription

    Automated recording and transcription of all omnichannel interactions (voice, chat, email, SMS, web, social) with support for 11+ languages including English, French, Spanish, German, Chinese, Japanese.

  2. AI-Powered Sentiment and Emotion Detection

    Machine learning identifies sentiment shifts, emotional drivers, and behavioral traits in real time, correlating data across channels to classify conversations by theme and outcome.

  3. Real-Time Agent Coaching and Guidance

    In-call prompts and post-call feedback to agents based on conversation quality, compliance risk, and customer sentiment to improve handling and outcomes in the moment or after each call.

  4. Automated Category Creation and Natural Language Discovery

    Generative AI suggests call categories and identifies emerging topics without manual tagging, reducing analyst workload and surfacing unexpected patterns at scale.

  5. Virtual Agents and Voice Automation

    Voice-optimized agents handle omnichannel conversations with human-like precision for customer service, sales, or outreach, reducing labor costs while maintaining context and reducing repetition.

  6. Multilingual Real-Time Translation

    AI-powered translation across calls and conversations to enable seamless multilingual support while preserving context and emotional nuance in customer interactions.

  7. Compliance and Quality Management

    Automated compliance scoring, risk flagging, and quality assurance against regulatory standards to monitor adherence to guidelines and audit trails without manual review.

Strengths and trade-offs

Strengths

  • Analyzes 100% of interactions at scale without sampling, covering all omnichannel touchpoints in a single view for comprehensive risk and opportunity detection.
  • Generative AI automates insight discovery, category creation, and topic identification, reducing manual analyst work and surfacing hidden patterns faster than rule-based platforms.
  • Real-time agent coaching and in-call guidance directly improve customer outcomes and compliance in the moment, not just post-call feedback.

Trade-offs

  • Transcription accuracy issues persist, especially with speaker separation when calls include transfers, hold music, or third-party voices that skew speaker identification and dialogue.
  • Steep learning curve and limited customization; users report difficulty tailoring the platform to specific business processes without technical support, and non-technical users struggle with query-building.
  • Pricing is custom and non-transparent, requiring direct vendor contact; no free trial available, raising barriers to evaluation for small or cost-conscious organizations.

Pricing context

CallMiner Eureka uses a custom, subscription-based pricing model. No pricing is publicly available; potential customers must contact the vendor directly for a quote. Enterprise deployments typically quote per-agent, per-interaction, or per-contact-center-seat.

The platform does not offer a free trial. User ratings place value-for-money at 4.0 of 5.0, suggesting customers perceive acceptable ROI relative to cost, though the opacity of pricing remains a barrier to SMB adoption.

User reviews

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Sources

Reporting on this tool draws on these publicly available sources.

  1. callminer.com — Core features (intelligence, augmentation, automation), use cases (contact center optimization, agent coaching, compliance, fraud detection, sales enablement), and platform architecture including OmniAgent virtual agents and LiveTranslate multilingual translation.
  2. callminer.com — Company founding year (2002), founder (Jeff Gallino), headquarters (Waltham, Massachusetts), company size (~300 employees), customer base (550+ global), main business focus (AI-powered conversation intelligence and CX automation).
  3. en.wikipedia.org — Founding year (2002), founders (Jeff Gallino, Cliff LaCoursiere, Kim Brown), headquarters (Waltham, MA), additional offices (UK, Prague), funding history (Goldman Sachs $75M in 2019), major acquisitions (OrecX 2021 for call recording, VOCALLS 2025 for AI and translation), integration partners (Microsoft Azure, Zoom).
  4. www.capterra.com — Deployment type (web-based SaaS with mobile apps for iOS/Android), support channels (email, phone, 24/7 live chat), training methods (in-person, live online, webinars, documentation, video), pricing model (custom, no free trial), value-for-money rating (4.0/5.0), and feature breadth (call recording, transcription, sentiment analysis, quality management, real-time analytics, customizable reporting, omnichannel tracking).