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Why choose Level AI over Call Miner?

CallMiner looks back. Level AI looks ahead.

CallMiner’s legacy platform still relies on post-call, keyword-heavy analysis — complex to configure, slow to act, and built on dated tech. QA remains manual, automation limited, and AI agents are fragmented add-ons rather than part of a unified stack.

Level AI is built for the modern contact center. With QA-GPT delivering 90%+ accuracy and explainable Auto-QA, it unifies QA, VoC, Coaching, Analytics, Agent Assist, and Virtual Agent in one GPT-native platform. The result: real-time, proactive insights instead of after-the-fact reports.

Why rely on a legacy keyword engine when you can run your contact center on One AI?

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Trusted by customer service leaders across the world

Beyond Traditional AI: How Level AI Outperforms Call Miner

Real-Time CX, Not Post-Call Reports

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

Fix issues in the moment, not in hindsight.

Unified Platform, Not Fragmented Add-Ons

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

One AI for your entire contact center.

Inferred CSAT on 100% of Conversations

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

100% coverage, zero surveys required.


From Keyword Rules to Explainable AI

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

Clarity replaces guesswork


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

Level AI vs. Cresta: A closer look

Unified CX Platform
Unified stack: Auto-QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent

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Speech analytics & compliance core; newer AI products but fragmented, not fully integrated

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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
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

What people are saying about Level AI

One Stop Contact Center Solution
We want to be able to do analytics for product, ops, and contact center teams while supporting customer service. Level AI's intent-based system + omnichannel is unique.
David Demarco
VP Delivery and Business Systems
Source:
2x better than anything we've tested
Level AI's semantic-based system is unique. We are getting a minimum of 82% accuracy from Level AI semantic tags. Overall 2x better than anything we have tested.
Chris Lewis
Contact Center Product Manager
Source:
We cannot imagine business without Level AI
Level AI helps us solve quality assurance, product management, and customer service pain points. As we scale, cannot imagine the business without Level AI.
Yuliya Ordova
Senior Director, CS Strategy
Source:

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