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Why choose Level AI over Observe AI?

Observe.AI is a solution based on speech analytics and “moment”-based detection, but it often leaves teams with partial automation, limited insights, and heavy manual upkeep. Its QA relies on intent and keyword models that require ongoing tuning — and miss nuance in open-ended conversations.

Level AI takes a broader and more advanced approach:

  • QA-GPT delivers 2x higher accuracy than keyword/intent models, with explainable evidence and continuous self-improvement.
  • A true end-to-end CX platform unifying Auto-QA, Voice of Customer, Coaching, Analytics, Agent Assist, and Virtual Agent in one stack.
  • The result: seamless insights you can act on instantly — not just “moments” but the entire customer journey.

Why settle for just observing performance, when you can transform the entire CX pipeline with One AI?

Schedule a demo

The results with Level AI

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 Observe AI

Platform Scope
One AI stack: Auto-QA, VoC, Coaching, Analytics, Agent Assist, Virtual Agent
Strong in speech analytics & QA “moments,” but not end-to-end
Virtual Agent
Native Voice + Chat AI built on genAI stack; fully integrated with QA & VoC
VoiceAI + ChatAI agents, but disconnected from QA & VoC
Inferred CSAT
iCSAT on 100% of interactions with sentiment trends; no survey dependency
No iCSAT; relies on sparse survey CSAT
Voice of the Customer
Supervised + unsupervised models auto-surface new issues & trends; includes iCSAT
Dashboards & reports only; limited discovery of new topics
Ease of Use
Modern, intuitive interface; quick adoption & clear insights
Dashboards often overloaded, harder to navigate
QA & Coaching
QA-GPT (90%+ accuracy) with explainable scores & coaching module
Keyword/intent tagging (~40% accuracy); gaps in QA, no robust coaching, manual upkeep
Analytics & Insights
Intuitive visual analytics; proactive trends + “query builder”
Manual “moment”-based reporting; less proactive
Agent Assist
Real-time summaries, sentiment, contextual guidance
Recently launched; early-stage & limited
Automation & Workflows
AI-powered workflows (e.g., Slack push notifications)
No comparable workflow automation
Transcription Accuracy
High-accuracy; speaker separation, PCI redaction, brand-name boosting
Reported mismatches, brand-name errors, accuracy gaps
Manager Visibility
Real-time dashboards for live monitoring & intervention
No real-time manager dashboard
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

Observe AI Overview

Observe AI is a technology platform that specializes in call center analytics and customer service optimization. It leverages artificial intelligence (AI) and natural language processing (NLP) to analyze and extract valuable insights from customer service phone calls in real-time. Observe AI was funded in 2017.

What is Observe AI, and how does it work?

Observe AI is an advanced call center analytics platform powered by artificial intelligence (AI). It works by analyzing recorded customer service calls, transcribing them, and using natural language processing (NLP) to extract valuable insights and data from these interactions. This helps businesses gain a deeper understanding of customer needs and agent performance.

How does Observe AI pricing work?

Observe AI offers ROI based pricing. It is crucial to understand the promised ROI and maintain a level of skepticism on every promise made.

Are there any limitations or downsides to using Observe AI for call center analytics?

While Observe AI offers numerous benefits, it’s essential to consider potential limitations. These may include the initial cost of implementation and training, the need for ongoing maintenance, and the requirement for high-quality call recordings for accurate analysis.

What happens if the AI-powered analysis from Observe AI generates inaccurate insights or misses important details during call monitoring?

AI, like any technology, is not infallible. While Observe AI strives for accuracy, there can be instances where it may misinterpret or miss specific nuances in call interactions. To mitigate this, we encourage human oversight and continuous refinement of the AI training phrases.

Are there any potential technical challenges or disruptions associated with integrating Observe AI into existing call center systems and workflows?

Integrating new technology can sometimes lead to technical challenges or disruptions. Observe AI is designed to minimize these issues through careful planning and support during the integration process. However, it’s essential to be prepared for potential adjustments and ensure that the integration is executed smoothly.

Who are Observe AI Competitors

Observe AI has many competitors.

The main one being Level AI, the Gartner’s choice backed by top tier venture firm Battery Ventures.

Other vendors from a 2013 vintage:

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

Older players such as

And the incumbent (funded in 2002) with a legacy tech stack, 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 about 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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