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Best Enterprise Natural Language Understanding (NLU) Software

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Natural Language Understanding (NLU) category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Natural Language Understanding (NLU) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Natural Language Understanding (NLU) category.

In addition to qualifying for inclusion in the Natural Language Understanding (NLU) Software category, to qualify for inclusion in the Enterprise Business Natural Language Understanding (NLU) Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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7 Listings in Enterprise Natural Language Understanding (NLU) Software Available

  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Make your content and apps multilingual with fast, dynamic machine translation available in thousands of language pairs.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 52% Small-Business
    • 24% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Translation API Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Translation Services
    153
    Ease of Use
    147
    Language Support
    97
    Multilingual Support
    94
    Accuracy
    88
    Cons
    Translation Accuracy
    83
    Accuracy Issues
    57
    Expensive
    56
    Limited Language Support
    39
    Translation Limitations
    37
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Translation API features and usability ratings that predict user satisfaction
    8.7
    Summarization
    Average: 8.9
    8.8
    Language Detection
    Average: 8.8
    8.8
    Part of Speech Tagging
    Average: 8.5
    8.5
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,753,487 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,860 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Make your content and apps multilingual with fast, dynamic machine translation available in thousands of language pairs.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 52% Small-Business
  • 24% Enterprise
Google Cloud Translation API Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Translation Services
153
Ease of Use
147
Language Support
97
Multilingual Support
94
Accuracy
88
Cons
Translation Accuracy
83
Accuracy Issues
57
Expensive
56
Limited Language Support
39
Translation Limitations
37
Google Cloud Translation API features and usability ratings that predict user satisfaction
8.7
Summarization
Average: 8.9
8.8
Language Detection
Average: 8.8
8.8
Part of Speech Tagging
Average: 8.5
8.5
Quality of Support
Average: 8.4
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,753,487 Twitter followers
LinkedIn® Page
www.linkedin.com
310,860 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(112)4.3 out of 5
1st Easiest To Use in Natural Language Understanding (NLU) software
View top Consulting Services for Google Cloud Natural Language API
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Derive insights from unstructured text using Google machine learning.

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Small-Business
    • 19% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Natural Language API Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    NLP Capabilities
    30
    Ease of Use
    29
    Accuracy
    18
    Sentiment Analysis
    17
    Natural Language Processing
    16
    Cons
    Expensive
    10
    Limitations
    5
    Limited Language Support
    4
    Poor Documentation
    4
    Pricing Issues
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Natural Language API features and usability ratings that predict user satisfaction
    8.6
    Summarization
    Average: 8.9
    8.8
    Language Detection
    Average: 8.8
    8.6
    Part of Speech Tagging
    Average: 8.5
    8.6
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,753,487 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    310,860 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Derive insights from unstructured text using Google machine learning.

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Small-Business
  • 19% Mid-Market
Google Cloud Natural Language API Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
NLP Capabilities
30
Ease of Use
29
Accuracy
18
Sentiment Analysis
17
Natural Language Processing
16
Cons
Expensive
10
Limitations
5
Limited Language Support
4
Poor Documentation
4
Pricing Issues
4
Google Cloud Natural Language API features and usability ratings that predict user satisfaction
8.6
Summarization
Average: 8.9
8.8
Language Detection
Average: 8.8
8.6
Part of Speech Tagging
Average: 8.5
8.6
Quality of Support
Average: 8.4
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,753,487 Twitter followers
LinkedIn® Page
www.linkedin.com
310,860 employees on LinkedIn®
Ownership
NASDAQ:GOOG

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(147)4.3 out of 5
2nd Easiest To Use in Natural Language Understanding (NLU) software
View top Consulting Services for Meta Llama 3
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 57% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Meta Llama 3 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Accuracy
    35
    Ease of Use
    31
    Speed
    30
    Open-Source
    26
    Helpful
    24
    Cons
    Limitations
    26
    Slow Performance
    18
    Poor Response Quality
    16
    Inaccuracy
    13
    Limited Understanding
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Meta Llama 3 features and usability ratings that predict user satisfaction
    8.7
    Summarization
    Average: 8.9
    8.4
    Language Detection
    Average: 8.8
    7.6
    Part of Speech Tagging
    Average: 8.5
    7.1
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2008
    HQ Location
    Menlo Park, CA
    Twitter
    @Meta
    13,563,796 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    133,520 employees on LinkedIn®
    Ownership
    NASDAQ: META
Product Description
How are these determined?Information
This description is provided by the seller.

Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 57% Small-Business
  • 24% Mid-Market
Meta Llama 3 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Accuracy
35
Ease of Use
31
Speed
30
Open-Source
26
Helpful
24
Cons
Limitations
26
Slow Performance
18
Poor Response Quality
16
Inaccuracy
13
Limited Understanding
11
Meta Llama 3 features and usability ratings that predict user satisfaction
8.7
Summarization
Average: 8.9
8.4
Language Detection
Average: 8.8
7.6
Part of Speech Tagging
Average: 8.5
7.1
Quality of Support
Average: 8.4
Seller Details
Year Founded
2008
HQ Location
Menlo Park, CA
Twitter
@Meta
13,563,796 Twitter followers
LinkedIn® Page
www.linkedin.com
133,520 employees on LinkedIn®
Ownership
NASDAQ: META
(77)4.3 out of 5
3rd Easiest To Use in Natural Language Understanding (NLU) software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure AI Language is a managed service for developing natural language processing applications. Identify key terms and phrases, analyze sentiment, summarize text, and build conversational interfaces.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure AI Language Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Understanding
    2
    Accuracy
    1
    Experience Satisfaction
    1
    Natural Language Processing
    1
    Response Accuracy
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure AI Language features and usability ratings that predict user satisfaction
    8.2
    Summarization
    Average: 8.9
    8.5
    Language Detection
    Average: 8.8
    8.1
    Part of Speech Tagging
    Average: 8.5
    8.4
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,002,134 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    234,872 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure AI Language is a managed service for developing natural language processing applications. Identify key terms and phrases, analyze sentiment, summarize text, and build conversational interfaces.

Users
No information available
Industries
No information available
Market Segment
  • 42% Small-Business
  • 32% Enterprise
Azure AI Language Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Understanding
2
Accuracy
1
Experience Satisfaction
1
Natural Language Processing
1
Response Accuracy
1
Cons
This product has not yet received any negative sentiments.
Azure AI Language features and usability ratings that predict user satisfaction
8.2
Summarization
Average: 8.9
8.5
Language Detection
Average: 8.8
8.1
Part of Speech Tagging
Average: 8.5
8.4
Quality of Support
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,002,134 Twitter followers
LinkedIn® Page
www.linkedin.com
234,872 employees on LinkedIn®
Ownership
MSFT
(319)4.7 out of 5
5th Easiest To Use in Natural Language Understanding (NLU) software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InMoment, the leader in improving experiences and the highest recommended CX platform and services company in the world is renowned for helping clients collect and integrate customer experience data t

    Users
    • Product Manager
    • Customer Success Manager
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Small-Business
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • InMoment Experience Improvement (XI) Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Feedback
    5
    Feedback Management
    5
    Helpful
    4
    Data Management
    3
    Ease of Use
    3
    Cons
    Filtering Issues
    3
    Difficult Reporting
    2
    Expensive
    2
    Limitations
    2
    Limited Customization
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InMoment Experience Improvement (XI) Platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    9.0
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    InMoment
    Year Founded
    2002
    HQ Location
    Salt Lake City, UT
    Twitter
    @WeAreInMoment
    1,899 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    741 employees on LinkedIn®
    Phone
    905-542-9001
Product Description
How are these determined?Information
This description is provided by the seller.

InMoment, the leader in improving experiences and the highest recommended CX platform and services company in the world is renowned for helping clients collect and integrate customer experience data t

Users
  • Product Manager
  • Customer Success Manager
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Small-Business
  • 39% Mid-Market
InMoment Experience Improvement (XI) Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Feedback
5
Feedback Management
5
Helpful
4
Data Management
3
Ease of Use
3
Cons
Filtering Issues
3
Difficult Reporting
2
Expensive
2
Limitations
2
Limited Customization
2
InMoment Experience Improvement (XI) Platform features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
9.0
Quality of Support
Average: 8.4
Seller Details
Seller
InMoment
Year Founded
2002
HQ Location
Salt Lake City, UT
Twitter
@WeAreInMoment
1,899 Twitter followers
LinkedIn® Page
www.linkedin.com
741 employees on LinkedIn®
Phone
905-542-9001
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Mid-Market
    • 38% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Comprehend features and usability ratings that predict user satisfaction
    8.6
    Summarization
    Average: 8.9
    8.3
    Language Detection
    Average: 8.8
    8.7
    Part of Speech Tagging
    Average: 8.5
    8.4
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,229,411 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    146,764 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Mid-Market
  • 38% Small-Business
Amazon Comprehend features and usability ratings that predict user satisfaction
8.6
Summarization
Average: 8.9
8.3
Language Detection
Average: 8.8
8.7
Part of Speech Tagging
Average: 8.5
8.4
Quality of Support
Average: 8.4
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,229,411 Twitter followers
LinkedIn® Page
www.linkedin.com
146,764 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing librar

    Users
    • Data Scientist
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 52% Small-Business
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NLTK features and usability ratings that predict user satisfaction
    7.4
    Summarization
    Average: 8.9
    7.0
    Language Detection
    Average: 8.8
    7.4
    Part of Speech Tagging
    Average: 8.5
    8.2
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @NLTK_org
    2,350 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing librar

Users
  • Data Scientist
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 52% Small-Business
  • 29% Enterprise
NLTK features and usability ratings that predict user satisfaction
7.4
Summarization
Average: 8.9
7.0
Language Detection
Average: 8.8
7.4
Part of Speech Tagging
Average: 8.5
8.2
Quality of Support
Average: 8.4
Seller Details
HQ Location
N/A
Twitter
@NLTK_org
2,350 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®