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Why choose Level AI over Call Miner?

Discover why leading enterprises choose Level AI’s all-in-one AI platform over CallMiner’s fragmented conversation intelligence tools.

  • One unified CX platform vs multiple disconnected analytics modules
  • Real-time, explainable AI insights vs delayed, keyword-based reports
  • Native analytics and dashboards vs whitelabeled Tableau visualizations
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Trusted by customer service leaders across the world

The results with Level AI

25%
increase
in CSAT
45%
increase
in ASAT (Agent Satisfaction)
90%
time
saved in QA monitoring
100%
better
insights into the business

Beyond Traditional AI: How Level AI Outperforms Call Miner

Real-Time CX, Not Post-Call Reports

Level AI delivers real-time insights and guidance through integrated QA, VoC, and Agent Assist — helping teams act now, not later.
CallMiner focuses on analyzing calls after they happen.

Fix issues in the moment, not in hindsight.

Unified Platform, Not Fragmented Add-Ons

While Level AI unifies Auto-QA, Coaching, VoC, Analytics, Agent Assist, and Virtual Agent in one seamless stack, CallMiner’s AI and analytics sit in silos — QA here, reporting there, and agents elsewhere.

One AI for your entire contact center.

Inferred CSAT on 100% of Conversations

Level AI’s iCSAT infers sentiment and satisfaction across every customer touchpoint, providing a real-time pulse on CX. CallMiner depends on limited survey feedback to measure satisfaction.

100% coverage, zero surveys required.


From Keyword Rules to Explainable AI

Level AI’s QA-GPT uses reasoning, timestamps, and evidence to explain every score — bringing trust and transparency to QA automation. CallMiner’s analytics still rely on static keyword and acoustic triggers.

Clarity replaces guesswork


Level AI vs. Call Miner: A closer look

Unified CX Platform
Unified stack: Auto-QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent
Speech analytics & compliance core; newer AI products but fragmented, not fully integrated
Native Virtual Agent
Native Voice + Chat AI; seamlessly integrated with QA & VoC
Acquired Voice/Chat AI agents (Vocalls); bolted on, hard to set up, fragmented
QA Automation
100% Auto-QA coverage with QA-GPT; explainable reasoning, timestamps, evidence
Keyword/acoustic models, manual setup; tops out at ~30–40% coverage
Advanced Voice of the Customer
Supervised models track trends in known issues + unsupervised models discover new/emerging concerns automatically
Predefined topics + survey CSAT; limited adaptability for new issues
Dynamic Agent Assist
Real-time guidance, manager dashboards, live summaries, sentiment alerts
Assist features tied to scripted behaviours & compliance cues
Analytics & Ease of Use
Modern, visual, intuitive dashboards; proactive concern mining
Powerful but complex; heavy configuration required
Screen Recording
Automated real-time redaction using computer vision
Rule based PCI/PII redaction using AI

What people are saying about Level AI

Amazing Partnership and Product!
Level AI has been one of the best AI companies I've worked with. Their product speaks for itself and they are amazing at delivering and setting your business up for success. Most of the time when you onboard a new product into your call center there's always something negative about it but we have been with Level for a year now and I can't say anything negative about it.
Kelley Diaz
Administrator
Source:
AI-powered insights for great CX!
LevelAI is a transformative platform that offers insights into how we can improve the employee and customer experience by identifying areas of opportunity. It scores ~100% of interactions across channels and provides data around sentiment, trending topics/sub-topics, and more. This allows us to easily decide where we should focus our human resources to get the most value when conducting VoC and coaching analysis.
Corinne Flanagan
Administrator
Source:
Efficient. Accurate. Level AI
My team's needs focused on quality and CX improvement while reducing cost. LevelAI is helping us to automate repetitive tasks for our agents and their managers - allowing them to focus on the "human touch" and process tasks more quickly. With automated Instascore, call transcription, "tags", etc. we will be able to dramatically improve both the quantity and depth of QA feedback with significantly less manual effort.
Josh Douglas
Executive Director, Contact Center Ops
Source:

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