Nlg Company

NLG (Natural Language Generation) companies develop NLG software which helps companies auto-generate articles and reports. Most common use cases include:

  • Automated article generation speeding up content creation of media companies, helping them build long tail, timely content
  • Automated reports (e.g. financial reports) which enable executives to get to the facts without spending time with complex reporting software

To be categorized as an NLG company, a company's product must be capable of automatically producing text based on a variety of input including tables or other text

Innovators Specialists Leaders Challengers Market Presence Momentum
Popularity
Satisfaction
Maturity
Pricing
Country

Compare Nlg Companies
Results: 15

AIMultiple is data driven. Evaluate 15 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.

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93.15170685972518
95.04166666666667
0
100
34.72222222222222
77.7601779478501
top5 , top10
4star
Azure Text to Speech API
4.00
100%
100%
0%
= 2 reviews
= 30 employees
= 100,000 visitors

Improve user experience and accessibility for your apps by converting text to speech.

93.01264756351598
91.88610698748738
4.772730772404638
94.40736708969708
100
76.10166038238897
top10
top5 , top10
4star
IBM Watson Text to Speech
4.10
100%
100%
35%
= 2 reviews
= 30 employees
= 100,000 visitors

Convert written text into natural-sounding audio in a variety of languages and voices.

81.1705367850504
78.33217952325415
100
77.84831661541729
71.82539682539682
78.85180462141858
top5 , top10
top5 , top10
4star
Amazon Polly
4.30
100%
100%
100%
= 2 reviews
= 30 employees
= 100,000 visitors

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled applications

74.18518946520666
67.9963929309274
29.54545364810138
71.39340125385874
0.007738095238095237
46.36574341575417
top5 , top10
top5 , top10
4star
Wordsmith
4.40
100%
35%
100%
= 2 reviews
= 30 employees
= 100,000 visitors

Natural Language Generation (NLG): Automated Insights is making the world's data understandable through natural language generation.

68.21967192177597
52.956104266011685
13.40908382000086
55.90759076897898
0.023214285714285715
61.38767438517648
top5 , top10
top5 , top10
4star
Readspeaker
4.40
58%
100%
100%
= 2 reviews
= 30 employees
= 100,000 visitors

ReadSpeaker provides lifelike online and offline text-to-speech solutions to make your products and services more engaging.

Popularity

Searches with brand name

These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, nlg company is less concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 77% (2% less than average) of search queries in this area.

Web Traffic

Nlg company is a less concentrated than average solution category in terms of web traffic. Top 3 companies receive 74% (3% less than average solution category) of the online visitors on nlg company company websites.

Satisfaction

Nlg company is less concentrated than average in terms of user reviews. Top 3 companies receive 57% (1% less than average solution category) of the reviews on nlg company company websites. Product satisfaction tends to be lower for more popular nlg company products. Average rating for top 3 products is 4.1 vs 4.3 for average nlg company product review.

Leaders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide nlg company is 93 which is 30 more than the median number of employees for the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 13 companies (35 less than average solution category) with >10 employees are offering nlg company. Top 3 products are developed by companies with a total of 1-5M employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

IBM
Amazon Web Services (AWS)
Google
Microsoft