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Compare Level AI and Observe.AI 
At a Glance
Market Segments
Mid-Market (59.6% of reviews)
Mid-Market (65.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Level AI
Star Rating
(200)4.7 out of 5
Market Segments
Mid-Market (59.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Level AIObserve.AI
Star Rating
(235)4.6 out of 5
Market Segments
Mid-Market (65.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Observe.AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Observe.AI excels in ease of use, with users highlighting its intuitive interface that simplifies the process of conducting detailed conversation analyses. Many appreciate how the platform effectively captures customer sentiments and insights, making it a valuable tool for quality assurance.
- Users say that Level AI offers a straightforward implementation process, which has been praised for its efficiency. Reviewers note that the platform's reporting features are easy to navigate, allowing contact center representatives to quickly derive value from the software.
- According to verified reviews, Observe.AI stands out for its call analysis capabilities, with users commending its ability to identify key topics and sentiments during customer interactions. This feature is particularly beneficial for teams looking to enhance their customer engagement strategies.
- Reviewers mention that while Level AI has a strong focus on customer success, some users feel that its AI capabilities could be further developed. Despite this, many appreciate the reliability and efficiency of the technology, which continues to meet their expectations.
- G2 reviewers highlight that Observe.AI's quality of support is a significant advantage, with many users reporting responsive and helpful assistance. This level of support contributes to a positive user experience, especially during the onboarding phase.
- Users report that both platforms are well-suited for the mid-market segment, but Observe.AI has a slight edge in customer scoring and feedback mechanisms, which are crucial for teams aiming to refine their customer interactions and improve overall service quality.
Pricing
Entry-Level Pricing
Level AI
No pricing availableObserve.AI
No pricing availableFree Trial
Level AI
No trial information availableObserve.AI
No trial information availableRatings
Meets Requirements
8.8
179
8.8
182
Ease of Use
8.9
186
9.2
182
Ease of Setup
8.9
159
9.0
105
Ease of Admin
9.0
47
9.2
91
Quality of Support
9.0
168
9.2
178
Has the product been a good partner in doing business?
9.1
44
9.3
93
Product Direction (% positive)
9.5
177
9.7
174
Features by Category
Call Analytics
9.0
42
9.5
43
8.8
40
8.9
44
8.7
39
9.1
44
8.6
40
9.0
40
Agent Performance Management
8.9
41
9.3
40
8.5
41
8.7
42
8.8
41
9.1
43
Generative AI
8.5
39
8.9
17
Agentic AI - Conversation Intelligence
8.2
13
Not enough data
8.3
13
Not enough data
8.6
13
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.2
13
Not enough data
8.5
13
Not enough data
Quality Assurance
9.2
124
9.2
143
9.0
124
9.0
140
8.8
123
8.8
134
Engagement
8.9
123
9.1
144
8.9
123
9.1
137
8.5
121
8.8
133
Performance
8.6
120
9.0
126
9.0
121
9.3
134
Generative AI
8.7
86
8.8
28
8.7
86
8.8
28
Algorithm
9.2
6
Not enough data
9.7
6
Not enough data
8.9
6
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.9
6
Not enough data
System
8.6
6
Not enough data
8.6
6
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
7.3
5
Not enough data
Data Ingestion
7.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
Presentation
8.7
5
Not enough data
7.7
5
Not enough data
Not enough data
Not enough data
System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
8.7
18
8.8
22
Agentic AI - Sales Coaching
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Training
9.2
18
Not enough data
8.9
18
Not enough data
8.5
16
Not enough data
7.8
17
Not enough data
Feedback
8.7
17
Not enough data
8.9
18
Not enough data
8.9
17
Not enough data
9.3
16
Not enough data
8.4
16
Not enough data
8.8
15
Not enough data
9.1
16
Not enough data
Generative AI
8.7
17
Not enough data
Testing - Contact Center AI Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics - Contact Center AI Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure - Contact Center AI Observability
Not enough data
Not enough data
Customer Query Resolution - AI Customer Support Agents
8.3
50
Not enough data
8.6
50
Not enough data
8.8
50
Not enough data
8.7
50
Not enough data
8.3
49
Not enough data
Customer Interaction Automation - AI Customer Support Agents
8.0
49
Not enough data
8.8
50
Not enough data
8.5
48
Not enough data
9.0
51
Not enough data
Automation
8.9
52
Not enough data
8.8
52
Not enough data
8.6
51
Not enough data
Autonomy
8.7
51
Not enough data
8.9
51
Not enough data
8.8
51
Not enough data
8.7
51
Not enough data
Agentic AI - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Level AI and Observe.AI are categorized as Speech Analytics, Conversation Intelligence, Contact Center Quality Assurance, and AI Customer Support Agents
Unique Categories
Level AI is categorized as Sales Coaching, Natural Language Generation (NLG), and Natural Language Understanding (NLU)
Observe.AI is categorized as AI Agents For Business Operations and Contact Center AI Observability
Reviews
Reviewers' Company Size
Level AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Observe.AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Consumer Services
27.5%
Printing
9.3%
Food & Beverages
9.3%
Retail
6.7%
Marketing and Advertising
6.2%
Other
40.9%
Outsourcing/Offshoring
13.2%
Consumer Services
12.8%
Hospital & Health Care
7.3%
Telecommunications
6.8%
Health, Wellness and Fitness
6.4%
Other
53.4%
Alternatives
Discussions
What is LevelAI used for?
1 Comment
JS
To improve customer service in contact centers.Read more
Level AI has no more discussions with answers
Can I use this tool in promoting quality work to other people in our community?
2 Comments
Official Response from Observe.AI
Hi Larah, absolutely! Our platform is used by many organizations who gamify strong performance. As an example, some Observe.AI users will allow QA team leads...Read more
What is the best way to use this tool to have more accurate and quality results in a short matter of time ?
2 Comments
Official Response from Observe.AI
The Observe.AI platform inherently enables greater efficiency of quality audits. By allowing users to see call transcripts, specific points of interests on...Read more
Is there a way every time a call is scored and email can be triggered to the agent to notify them ?
1 Comment
Official Response from Observe.AI
Hi Melissa,
Yes! It's possible to get an email sent to your agent letting them know they've had a call scored. Today, you can do this by leaving a...Read more
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