Chatbot Agency
Chatbot agencies employ chatbot developers to build custom bots for businesses +Show More
Products | Position | Customer satisfaction | |||
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Leader
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Satisfactory
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
1-5 case studies
Company's number of employees
50-100 employees
Company's social media followers
10k-20k followers
Total funding
$50-100m
# of funding rounds
3
Latest funding date
March 21, 2021
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2018
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Leader
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Satisfactory
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We are one of the leading mobile app development companies in USA & India.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
40-50 case studies
Company's number of employees
200-300 employees
Company's social media followers
10k-20k followers
Company
Type of company
private
Founding year
2011
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Leader
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Satisfactory
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
2000
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Leader
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N/A
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Kezmo is an enterprise chat and collaboration tool to help teams get things done.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
50-100 employees
Company's social media followers
3k-4k followers
Company
Type of company
private
Founding year
2015
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Leader
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N/A
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100-200 employees
Company's social media followers
2k-3k followers
Company
Type of company
private
Founding year
2018
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Challenger
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N/A
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
10-20 case studies
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Company
Type of company
private
Founding year
2017
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Challenger
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N/A
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QBurst is a full-service software provider enabling enterprises to apply digital technology in their business context through data-driven solutions
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
50-100 case studies
Company's number of employees
3k-4k employees
Company's social media followers
50k-100k followers
Company
Type of company
private
Founding year
2004
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Challenger
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N/A
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
50-100 employees
Company's social media followers
4k-5k followers
Company
Type of company
private
Founding year
2012
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Challenger
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N/A
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Azilen Technologies is a Product Engineering company. We collaborate with organizations to propel their software product development journey from Idea to Implementation and all the way to product success. From consulting to UX engineering, software design & development, test automation, DevOps, and modernization of software products, we engage with product companies to build a competitive advantage with the right mix of technology skills, knowledge, and experience. Domain expertise, agile methodologies, and cross-functional teams blended in a collaborative development approach are our vanguards of engineering, managing, monitoring, and controlling product lifecycles for startups and enterprises. Highly scalable and future-fit products that too with faster-go-market are what we deliver by letting in-house teams of product companies focus on core product expansion & growth while we manage and support the technology in parallel.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
30-40 case studies
Company's number of employees
400-1k employees
Company's social media followers
50k-100k followers
Company
Type of company
private
Founding year
2009
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Niche Player
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N/A
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Chatbots.Studio - is the leading AI chatbot and conversational platform builder for Facebook Messenger, WhatsApp, Telegram, Viber, Skype, Slack and other platforms
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
30-40 employees
Company's social media followers
1k-2k followers
Company
Type of company
private
Founding year
2016
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in chatbot agencies:
Chatbot Agency Leaders
According to the weighted combination of 4 metrics





What are chatbot agency
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current chatbot agency customer satisfaction leaders:





Which chatbot agency solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are chatbot agency
market leaders?
Taking into account the latest metrics outlined below, these are the current chatbot agency market leaders:





Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature chatbot agencies?
Which one has the most employees?





Which chatbot agency companies have the most employees?
66 employees work for a typical company in this solution category which is 43 more 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. 43 companies with >10 employees are offering chatbot agencies. Top 3 products are developed by companies with a total of 6k employees. The largest company in this domain is QBurst with more than 3,000 employees. QBurst provides the chatbot agency solution: QBurst
Insights
What are the most common words describing chatbot agencies?
This data is collected from customer reviews for all chatbot agency companies. The most positive word describing chatbot agencies is “Customer service” that is used in 6.00% of the reviews. The most negative one is “Difficult” with which is used in 1% of all the chatbot agency reviews.
What is the average customer size?
According to customer reviews, most common company size for chatbot agency customers is 1-50 Employees. Customers with 1-50 Employees make up 44% of chatbot agency customers. For an average Conversational AI solution, customers with 1-50 Employees make up 36% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all chatbot agencies. Chatbot Agencies are most positively evaluated in terms of "Customer Service" but falls behind in "Likelihood to Recommend".
Where are chatbot agency vendors' HQs located?
Trends
What is the level of interest in chatbot agencies?
This category was searched on average for 665 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other conversational ai solutions, a typical solution was searched 612 times in 2024 and this decreased to 0 in 2025.
Learn more about Chatbot Agencies
- Experience: Chatbot agencies know about the problems that can arise in conversational AI projects because of their previous or ongoing work with different companies. Their experience of user interaction via chatbots can guide the enterprises.
- Faster Deployment: Because agencies set up a framework to develop chatbots and have developed different chatbots, they can build a chatbot much faster than a company building its own chatbot from scratch. Faster development of a chatbot system ensures that chatbot benefits are experienced earlier by the business
- Cheaper: Thanks to their experience and sometimes thanks to their team members in low cost locations help agencies deliver results for less. Hiring resources to build an internal conversational AI team can be most costly and risky. For example, deprioritizing conversational AI projects after setting up a team would be quite costly as the now unnecessary team members need to be paid severances.
- No extra resources required: To set up a chatbot, it may be necessary to hire someone or make an internal assignment. Such changes disrupt the usual flow of business. And hiring can especially slow down a project, especially in times of economic expansion which is when these investments occur.
- Less Risky: An agency's experience can help derisk the project. An agency with numerous chatbot development projects under its belt is unlikely to experience delays in the project compared to a team with limited experience
- General guide about chatbots
- Objective metrics for measuring the performance of a chatbot so you can measure results of testing
- Chatbot success stories. We recommend reading it since success stories are rare and since they can be studied to learn drivers of chatbot success
- Chatbot testing guide focusing on a/b testing
- Top chatbot testing frameworks & techniques in 2020
- Learn about the fundamentals of chatbots: Although agencies can guide you on chatbots, it is necessary to obtain an understanding of chatbot capabilities so you can see through the marketing speak of some agencies. Unfortunately, some tech vendors and service providers, including chatbot agencies, regularly overpromise or position relatively simple features as technological achievements. You can browse our other articles to learn more about chatbots at the bottom of the page.
- Define the use case and expectations clearly: The application area must be clear to get the most benefit from chatbots. For example, a chatbot to be used in the field of healthcare and a chatbot to be used in the field of e-commerce will be technically quite different from each other. Therefore, the agency to work with should have relevant experience in similar use cases and that industry.
- Prepare clear specifications including response time, share of queries resolved by the chatbot without transferring the user to a customer representative etc. These specs should be measurable metrics. Feel free to explore the most comprehensive article on chatbot metrics to see some example metrics.
- Ask for demo: Evaluating the previous works of a chatbot agency is a way to compare different agencies. Public bots and previous works can be tested to see the quality of natural language ability, speed of responses etc.
Strategy: A chatbot agency can be a guide for the type of chatbot that will be created, taking advantage of its previous experiences. There are different types of chatbots and they can provide different benefits. Some chatbot experience would be helpful to invest in choosing the right type of chatbot for your company's priorities. For example, a chatbot can be a voice bot, only text bot or hybrid bot and there are pros and cons for each option. The use case should be defined clearly to achieve the expected benefits of chatbots. A chatbot agency can help define these goals and expectations. For more information on what a chatbot is, feel free to visit our article on chatbots.
Design and Development of Bots: Chatbot agencies are responsible for technical infrastructure to build a stable and effective chatbot. The main responsibilities of the agencies can be listed as
- Building natural language skills: The ability to understand and respond to the user is a determining factor in the technical difficulty of building chatbots. Most agencies will rely on tech companies' Natural Language Processing (NLP) products to achieve this.
- Optimizing the chatbot for the specific channel: The environment in which the chatbot will operate will have implications for its development. A bot can be placed on a website or app, a communication platform like Whatsapp, Telegram, or voice platforms like Google Assistant or Amazon Alexa.
- Integration: The chatbot needs to be connected to the existing systems. For example, the chatbot can be integrated to the marketing or CRM software to access necessary information about the potential customer.
- Security: The chatbot agency should ensure that security standards are met in order to secure customer or company data.
Post-development support: In order for chatbots to run without malfunctioning, it is necessary to make the updates and changes for continuous improvement. When there is a problem with the chatbot, agencies should offer timely suppot services.
To understand the importance of chatbot agencies, it is necessary to learn why chatbots are important and what value they provide. We have written extensively on chatbot benefits before.
Though chatbots have numerous benefits, there are also numerous cases of chatbot failure. A chatbot needs to be treated like a standalone product and needs to be tested extensively. Given the risks of chatbot failure and the benefits of chatbot success, some organizations decide that launching the first versions of their chatbot with an experienced agency offers a good trade-off enabling a lower cost fast launch that can demonstrate the benefits of chatbots for the business.