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Why choose Level AI over Callminer?

CallMiner has long been known for speech analytics and compliance, but it remains a legacy, keyword-heavy tool:

  • Post-call, complex to configure — insights arrive too late to act.
  • Manual QA with keywords; lacks true Auto-QA.
  • No automation or AI agents — fragmented add-ons, not a unified CX stack.
  • Runs on dated tech that struggles to keep pace with modern AI.

Level AI takes a GPT-native approach:

  • QA-GPT delivers 90%+ accuracy and explainable Auto-QA across every conversation.
  • Fully unified platform: Auto-QA, VoC, Coaching, Analytics, Agent Assist, and Virtual Agent in one stack.
  • Real-time, proactive insights — not just after-the-fact reports.

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

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The best AI in the Industry

QA Auditors
5x
faster
QA evaluations mean more time for agent coaching
Agents
30%
decrease
in Agent Churn
Business Leaders
100%
visibility
into VoC insights
Customers
25%
increase
in CSAT score
Contact Center Leaders
20%
increase
in contact center efficiency

How Level AI Compares To Callminer

With purpose-built, proprietary AI models to help contact centers exceed customer expectations and drive profitable business growth, Level AI is the superior alternative to Callminer.

Platform Scope
Unified stack: Auto-QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent
Speech analytics & compliance core; newer AI products but fragmented, not fully integrated
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
Inferred CSAT
iCSAT on 100% of conversations, enriched with temporal sentiment
Survey-only CSAT; low response rates; no inferred scoring
Dynamice 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
Manager Visibility
Real-time, unified dashboards for supervisors to act instantly
Monitoring & alerts exist, but siloed across modules
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
AI Explainability
Transparent AI: reasoning, audit trails, near-miss detection
Outputs & classifications with limited explainability
Easy Deployment & Maintenance
Lightweight setup (3–5 phrases); models self-improve continuously
Requires ongoing keyword/phrase tuning & retraining
Trusted by customer service leaders across the world

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:

Level AI satisfies the requirements for GPDR, HIPAA, and PCI compliance

Frequently asked questions

What is CallMiner?

CallMiner is a legacy speech and customer interaction analytics company founded in 2002, more than 20 years ago. They were the pioneer, at the time, for mining conversation data to discover customer insights and improve customer experience. Their tech stack is way too old to be able to adapt to the latest advancements in artificial intelligence. CallMiner still sells an outdated text analytics solutions masquerading as AI.

How does CallMiner pricing work?

CallMiner offers customized pricing based on the specific needs and requirements of your organization. Pricing typically is higher than newer entrants like Level AI and comes with and is billed per user per month.

Can CallMiner effectively handle multiple languages and accents, or is it primarily designed for English-language interactions?

CallMiner claims to be capable of handling multiple languages and accents, but the accuracy may vary greatly depending on the language and accent complexity. It’s important to discuss language-specific capabilities with CallMiner’s support team to ensure alignment with your needs.

How quickly can businesses expect to see tangible improvements in call center performance after implementing CallMiner's analytics?

The timeline for seeing improvements can vary depending on factors such as the complexity of call center operations and the extent of changes required. Businesses should set realistic expectations and work closely with CallMiner to achieve desired outcomes.

Can CallMiner adapt to industry-specific needs, or is it a one-size-fits-all solution that may not align with unique requirements?

CallMiner is customizable to a limited extent to align with industry-specific needs. However, businesses with highly specialized requirements may need to discuss customization options with CallMiner to ensure compatibility with their unique demands.

Is there a steep learning curve associated with implementing CallMiner, potentially requiring significant time and resources for training and adoption?

Learning to use CallMiner effectively can take some time, especially for users new to speech analytics. However, CallMiner provides training and support resources to help users on their onboarding training with CallMiner.

Who are CallMiner competitors?

CallMiner has a slew of competitors.

Newer entrants such as

Other vendors from a 2013 vintage:

  • Tethr
  • MaestroQA, a call center quality assurance company that is still figuring out its AI strategy

Older but still more recent than CallMiner:

With the rise and power of generative AI and Large Language Models, when choosing a conversation intelligence, contact center performance management, agent assist or quality assurance monitoring platform your #1 criteria to look for is the quality of underlying AI since this is the engine that will provide the automation and effectiveness of the solution. Want to learn more contact center AI, and what makes for good AI? Download this great resource: “How to evaluate AI for your contact center.

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