CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. Level AI: Level AI is a contact center conversation intelligence platform that transcribes, scores, and analyzes voice and text customer interactions with automated QA and real-time agent assist. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and Level AI when coaching contact center agents using transcript-based insights and real-time call guidance matters most. Run both through a week of actual calls to see which suits your workflow.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
Level AI is a contact center conversation intelligence platform that transcribes, scores, and analyzes voice and text customer interactions with automated QA and real-time agent assist.
CallMiner is an enterprise speech and conversation analytics platform, built around its Eureka product, that captures and analyzes customer interactions across voice and digital channels. It records and transcribes calls into text, then applies acoustic and linguistic AI to surface sentiment, emotion, intent, and behavioral signals — quantifying frustration, effort, satisfaction, and confidence rather than sampling a fraction of conversations. Designed for contact centers and large enterprises, it spans modules for analysis, automated agent scoring and coaching, real-time guidance during live calls, automated redaction of sensitive data, multilingual translation, and interactive dashboards. CallMiner ingests voice, chat, email, surveys, social media, and screen recordings, applying scoring models to isolate compliance risks, fraud, quality issues, and sales outcomes. It also includes generative and agentic AI features such as automatic category creation, contact summarization, and natural-language discovery. The platform is used across healthcare, finance, retail, insurance, and BPO sectors, and was named a leader in The Forrester Wave: Conversation Intelligence Solutions for Contact Centers, Q2 2025.
Best suited for
Level AI is a customer experience platform built for enterprise contact centers that captures, transcribes, and analyzes customer conversations across voice calls, chat, email, and bot interactions. Its proprietary speech-to-text engine, trained on noisy call center audio and fine-tuned to each customer's terminology, converts spoken conversations into searchable transcripts. On top of that transcription layer, Level AI applies semantic intelligence (natural language understanding) rather than keyword matching to detect intent, sentiment, and compliance issues, aiming to monitor 100% of interactions instead of a small sampled fraction. The platform automates quality assurance by scoring conversations against custom scorecards, including open-ended criteria via its QA-GPT feature, and surfaces coaching opportunities. A real-time Agent Assist module suggests next-best actions during live calls, and analytics dashboards extract voice-of-customer insights and dissatisfaction drivers. It is aimed at QA, CX, and operations teams in financial services, healthcare, insurance, and retail. Level AI also offers AI virtual agents for call deflection and screen recording for agent monitoring.
Best suited for
CallMiner is custom pricing (contact sales); Level AI is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | Level AI |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Speech-to-text transcription of voice calls plus ingestion of chat, email, and bot text across channels |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Semantic conversation intelligence using NLU to detect intent, sentiment, and compliance signals |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | Automated quality assurance scoring of 100% of interactions via custom scorecards and QA-GPT |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Real-time Agent Assist that surfaces recommended responses and guidance during live calls |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Analytics dashboards for voice-of-customer insights, dissatisfaction drivers, and root-cause analysis |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Agent screen recording and AI virtual agents for call triage and deflection |
CallMiner
Choose CallMiner if you need contact centers monitoring agent performance and automating quality scoring and coaching — strengths include analyzes 100% of interactions rather than a sampled subset, reducing blind spots.
Level AI
Choose Level AI if you need automatically scoring and auditing agent calls and chats for quality assurance at scale — strengths include transcription engine is trained specifically on noisy contact center audio and tuned to customer-specific terminology.
CallMiner
Level AI
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while Level AI is strong for automatically scoring and auditing agent calls and chats for quality assurance at scale. Both transcribe and summarize meetings.
CallMiner is custom pricing and Level AI is custom pricing. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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