Voice Bot Platforms

Voice bot platforms help businesses build and rapidly deploy voice-enabled conversational AI solutions. Some of these platforms also allow non-tech employees to build voice-bots, thanks to their easy-to-use user interfaces.

To be categorized as a voice bot platform, a product must provide:

  • An interface to build bots and natural language understanding capabilities like those provided by chatbot platforms 
  • Speech-to-text capabilities
  • Text-to-speech (TTS) capabilities
Innovators Specialists Leaders Challengers Market Presence Momentum
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Compare Voice Bot Platforms
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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71.50892876637411
94.01666046617504
0.030210750954451887
100
0.5251381215469613
49.00119706657317
top10
top5 , top10
4star
Aspect CXP Pro
4.45
100%
100%
0%
= 5 reviews
= 400 employees
= 100,000 visitors

68.58193843235932
90.54933659160012
7.250756056058893
92.90618501055144
100
46.61454027311853
top5 , top10
top5 , top10
4star
Amazon Lex
4.30
100%
100%
100%
= 5 reviews
= 400 employees
= 100,000 visitors

Amazon Lex is a service for building conversational interfaces into any application using voice and text.

66.38715296952826
85.95503661814644
4.601846340856629
91.29466088076674
0
46.81926932091009
top5 , top10
top5 , top10
5star
Mindsay
4.70
71%
0%
100%
= 5 reviews
= 400 employees
= 100,000 visitors

52.17667718792721
68.03731443038119
100
69.18863237274594
0
36.31603994547323
top5 , top10
top5 , top10
4star
Sayint
4.45
57%
0%
100%
= 5 reviews
= 400 employees
= 100,000 visitors

47.73586561179137
61.75297104605002
0.07669730780010518
65.69206120226696
0.00441988950276243
33.71876017753272
top10
top5 , top10
4star
Ideta
4.40
35%
0%
1%
= 5 reviews
= 400 employees
= 100,000 visitors

47.716404533466246
61.84988764044942
0
65.79775280898875
0
33.582921426483075
top10
top5 , top10
5star
Replicant Voice
4.88
28%
0%
0%
= 5 reviews
= 400 employees
= 100,000 visitors

15.361917149009711
19.01181122422893
0.019175639091746
20.224719101123597
0
11.712023073790496
top10
top5 , top10
5star
Smartly.ai
4.50
7%
0%
0%
= 5 reviews
= 400 employees
= 100,000 visitors

10.333109540552606
12.356511251188468
0
13.145224735306885
0
8.309707829916743
top10
top5 , top10
5star
KODA Bots
5.00
3%
0%
0%
= 5 reviews
= 400 employees
= 100,000 visitors

KODA Bots is the leading specialist in enterprise-strength automation software that allows companies to facilitate internal and external business communication across diverse channels. Our Automated Communication Management Software uses natural language processing algorithms and machine learning to automate communication processes via voice and chat. We created this not only bearing Messenger in mind but also other messaging apps and private intranet/extranet websites. The software allows for the creation of any number of scenarios, combinations, and changes the bot content in real-time. Our technology lets them integrate and exchange data with the most critical IT systems of clients.

1.170383091577177
0.04141662494055998
1.3805541646853328
0
0
2.2993495582137937
top5 , top10
top5 , top10
Infostretch
0%
0%
30%
= 5 reviews
= 400 employees
= 100,000 visitors

1.170383091577177
0.04141662494055998
1.3805541646853328
0
0
2.2993495582137937
top5 , top10
top5 , top10
Agara
0%
0%
30%
= 5 reviews
= 400 employees
= 100,000 visitors

Market Presence Metrics

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, Voice Bot Platforms is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 97%, 23% more than the average of search queries in this area.

Web Traffic

Voice Bot Platforms is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 96% (23% more than average solution category) of the online visitors on voice bot platforms company websites.

Maturity

Amazon Web Services (AWS)
Aspect Software
Ideta
BotArtisanz
Floatbot

Number of Employees

16 employees work for a typical company in this category which is 36 less than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 4 companies (45 less than average solution category) with >10 employees are offering voice bot platforms. Top 3 products are developed by companies with a total of 100-500k employees. However, 2 of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

Customer Insights

Top Words Describing Voice Bot Platforms

This data is collected from customer reviews for all voice bot platforms companies. The most positive word describing voice bot platforms is "customer service" that is used in 50% of the reviews.

customer service
50%
easy to use
40%
drag and drop
0%
Positive
Negative

Customer Evaluation

These scores are the average scores collected from customer reviews for all Voice Bot Platforms companies. Compared to median scores of all solution categories, Voice Bot Platforms comes forward with Ease of Use but falls behind in Value for Money.

Customers by

Industry

According to customer reviews, top 3 industries using Voice Bot Platforms solutions are Banking, Management Consulting and Computer Software. Top 3 industries consitute 30% of all customers. Top 3 industries that use any solution categories are Computer Software, Information Technology and Services and Marketing and Advertising.

Company Size

According to customer reviews, most common company size is 10,001+ employees with a share of 18%. The median share this company size is 3%. The most common company size that uses any solution category is employees.

Learn More About Voice Bot Platforms

What is a Voice Bot?

Voice bots, also called voice-enabled chatbots, are AI-based software that take voice commands and reply by voice. They enable users to communicate faster compared to text based bots. Popular examples of voice bots Apple’s Siri, Amazon Alexa and Google Assistant. There are two types of voice bots:

  • Hybrid model: Voice and text controlled bots.
  • Voice-only bots: Only Voice-controlled bots.

Like chatbots, voice bots are able to not just recognize what the user says but to understand the customer’s intent and have two-way communication to solve the users’ problems. In addition to the technologies used in text based bots, voice bots also rely on transcription to first get user's commands in text form. They also rely on text-to-speech conversion to talk to users.

How do Voice Bots work?

Voice bots work like text chatbots. For more information about chatbots you can visit our research on chatbots. An additional voice recognition step is required in voice bots compared to chatbots.

The steps can be summarized roughly:

1-Voice input is taken from the user with a device like a mobile phone or computer with a microphone.

2-This input is sent to the cloud in order to decode the message and understand the user intent.

3-The audio message is converted to text and the natural language processing models analyze the users’ requests.

4- The AI-based engines search for the most suitable answers or actions and create a response.

5-The answer is converted audio and shared with the user.

Why does it important now?

Using voice bots provide a better, more natural user interface. Companies can use voice bots to reduce call center costs and create more user friendly products.

The increase in mobile users results in an increase in the voice bot demand: Mobile devices provide ease of use in terms of voice applications. It is faster to describe any problem by talking than typing. The progression of speech and voice recognition technologies are supported by tech giants including Google, Apple, Microsoft and Amazon, as well as Baidu, Xiaomi and Alibaba.

Voice-bot adds value to contact centers by reducing queue time and therefore improving customer satisfaction. The problem-solving process of users with call center takes less time than the waiting period. By working 24/7 and with the ability to scale up according to demand, voice-bots eliminate wait times.

The market size is increasing as the demand for chatbots and voice bots: IBM points out that businesses spend $1.3 trillion on 265 billion customer service calls each year. The process can be automated partially by using voice bots.

Why to choose voice bots over chatbots?

There are two main reasons why voice bots are preferred to chatbots.

Speaking is a faster way to explain a problem than typing: Especially for older people, typing is slower than talking in describing a problem. On the other hand, according to PWC research, younger people tend to use voice assistants. It shows that voice bots are more useful for both younger and older people in terms of ease of use and faster communication.

People tend to prefer a human-like interaction to tell their problems: Voice bots provide smoother, more human-like interactions

Many tech giants invested in voice technologies in recent years. A disadvantage of voice bot over textual chatbots is the speech recognition time. With the advances in both natural language understanding and speech recognition technologies, launching a voice bot is not significantly more challenging than launching a text based chatbot.

How to choose a voice bot technology provider?

There are four different points to consider while choosing a voice bot provider.

  1. NLU capabilities: The NLU infrastructure sets the boundaries of what a voice bot can do. At this point, there may be a tradeoff between price and NLU capabilities. The optimal NLU skills should be chosen by considering the requirements of the use case.
  2. Deployment: The training process of AI used by the voice bot must be completed in order to minimize the time required for full integration. Installation of the voice bot into system and without being fully trained can cause problems such as user satisfaction and security. A trained AI can reduce time of deployment.
  3. Use cases: It is necessary to determine exactly what purpose voice bot to use. It is necessary to determine exactly what purpose voice bot to use. For example, an IVR bot should not have to have complex NLU. Taking different types of work over the same voice-bot increases the likelihood of errors. Therefore, it may be more suitable to choose an application-specific bot.
  4. Pricing: Voice bots have different payment models, just like chatbots. Options such as monthly plan, pay per use, pay per performance may be available. At this point, a payment plan should be selected considering how much the boat will be used. However, in most cases performance-oriented payment plans may be a viable option.