Why choose Level AI over Cresta?

In the realm of contact center technology, where Cresta limits its expertise to Agent Assist, Level AI stands out with its comprehensive QMS package.

Elevate your contact center by upgrading from Cresta’s basic QA and error-prone keyword-based AI to Level AI’s advanced analytics, automated QA, and comprehensive voice of customer and agent support.

Explore the #1 Cresta alternative today!

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The results with Level AI

QA Auditors
QA evaluations mean more time for agent coaching
in Agent Churn
Business Leaders
into VoC insights
in CSAT score
Contact Center Leaders
in contact center efficiency

How Level AI Compares To Cresta

Auto QA
Near-human accuracy auto-scoring of your organization’s entire scorecards
Basic QA Experience
QA & Conversation Intelligence Setup and Accuracy
Data You Can Trust & Setup in Minutes
Keyword, Phrase-Based Matching Approach
Complete Quality Management System (QMS)
AutoQA + Deep QMS Capabilities
Limited QMS System
Agent Coaching and performance
AI-drive coaching dashboard with agent-specific personalization
Incomplete coaching module
Agent Screen Recording
Add eyes to your QA analysis
Limited capabilities
Voice of Customer (VoC)
Unique Generative AI-Driven VoC Solution
Superficial Customer Insights

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
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
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

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

Frequently asked questions

Cresta basics

Cresta’s focus is Real Time Agent Assist. The tool also provides a QA suit but it misses essential features like auto-scoring and auto-tagging crucial conversation moments.

What sets Level AI apart from Cresta?

Level AI is known for its comprehensive Quality Management System (QMS) package, while Cresta AI focuses on Cresta Agent Assist. This fundamental difference allows Level AI to provide a broader range of solutions.

What are the advantages of choosing Level AI over Cresta Call Center Software?

Level AI offers advanced analytics, automated QA, and a holistic voice of customer and agent support. These features provide enhanced capabilities compared to Cresta’s basic QA and keyword-based AI.

Can Cresta integrate with our existing systems?

It depends on your CRM tool. Cresta software is designed to integrate with popular CRM and contact center platforms.

Who are Cresta competitors?

The Competitive arena of Cresta has a diverse set of Contenders. 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

In the league of older vendors:

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.

How does Cresta reviews look like on different review sites?

Cresta reviews include both positive and negative feedback from users, with some expressing satisfaction and others encountering issues with the product & mentioning that their implementation was delayed by more than 5 months because they were not satisfied with Cresta’s ability to tag scenarios accurately in real-time.


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