

Find out in this report how the two AI Customer Support solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Previously, it would take a month to build all conversational flow and IVR flows. Now it takes just days.
The feedback has been positive on the side that customers did not have to wait anymore and AST has gone down significantly.
Automating customer service really reduces the number of employees needed during peak hours, which is an achievement, especially if you are dealing with multiple calls per day.
The main return was not something of direct cost tracking on my own side, but more on the time saved, the faster response, and the reduced pressure on agents.
I have seen a return on investment, including saved money, saved time, and the requirement of very few resources or employees to implement Sendbird chat.
It allowed us to focus on validating business workflows and user experience instead of troubleshooting core messaging functionality.
Every moment that we have had the need for customer support from Cognigy.AI Platform, they have been there for us, solving our issues and guiding us.
Cognigy.AI Platform's customer support is usually good since you open a public ticket and they respond quickly.
Cognigy.AI Platform's customer support is superb.
The resolution to some problems that involved multiple SDKs came in a little later and required a lot of effort from my end to get the solution out.
The team was responsive and helpful in addressing technical questions.
Customer support is great; whenever I require support from Sendbird team, I receive a response within 24 hours.
It supports complex conversational flows, integrations with enterprise systems, and the ability to manage multiple bots and channels.
Cognigy.AI Platform has scaled well for our use cases when we had to move from single flows to complex multi-tools.
The scalability of Cognigy.AI Platform is excellent.
It has very good connection management which helps a large number of concurrent users to connect and use the chatbot and also helps to maintain traffic spikes.
Chats still came in real time, and agents could manage multiple conversations without the system slowing down.
The scalability is quite effective.
I have to be very careful about how I am defining and setting up the prompt engineering.
I didn't experience any major crashes or reliability issues while building and testing conversational flows.
Reliability depends on how I, as a technical specialist, configure it, and with proper configurations, it can yield very reliable solutions.
Conversations loaded properly, messages delivered in real time, and the system generally stayed responsive even when chat volumes increased significantly.
The chatbot availability is approximately 99% and even if some services are down, it does not affect the chatbot availability.
Sendbird was a stable and reliable platform throughout my experience.
Creating a version control would really help developers.
It would be beneficial if the platform could connect to Visual Studio Code so that technical people can easily debug without having to go node by node.
More comprehensive documentation and additional real-world examples for advanced use cases would make onboarding and development smoother.
With AI-driven development happening, I would say include more AI-driven development or include more options on different libraries and languages.
More flexibility in configuring unread count behavior, along with clearer documentation and debugging tools for these scenarios, would make it easier for developers and QA teams to validate and troubleshoot messaging workflows.
The documentation for integrating with the Flutter framework is lacking detailed information.
pricing needs improvement for informed decisions
Cognigy.AI Platform's pricing is expensive for the service that is offered.
As compared to others and the market standard, the pricing, setup cost, and licensing for Cognigy.AI Platform is currently high.
overall it is an expensive product as compared to other peers
The subscription cost is quite high, which prevents us from subscribing before the project completion and user testing.
Compared to other chat providers, Sendbird is not that expensive to integrate.
Instead of going through manual testing where we have to type everything one by one, we run a Playbook, and it checks whether the feature is completely developed as it should be or if there are any edge cases that are happening.
The platform allows sharing projects with different people who can work simultaneously on the same project.
Cognigy.AI Platform has positively impacted my organization by helping with the automation of tasks and providing pre-built libraries that assist configurators with no-code design, which outclasses other tools.
Features similar to WhatsApp, such as online and offline statuses, message reactions, and replies, add significant value.
On average, I save two weeks per project compared to building custom chatbots.
Having the full history in one place makes a very big difference because agents can quickly understand what has already happened and continue helping customers without making them repeat themselves.
| Product | Mindshare (%) |
|---|---|
| Sendbird | 1.8% |
| Cognigy.AI Platform | 1.6% |
| Other | 96.6% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 5 |
| Large Enterprise | 3 |
Cognigy.AI Platform is an advanced conversational automation framework designed to improve customer engagement through intelligent virtual agents and sophisticated dialogue management.
Cognigy.AI Platform streamlines communication processes, enabling businesses to deploy virtual agents that enhance customer interactions. By integrating natural language processing and machine learning, it offers flexibility and customization to meet specific business demands. Organizations can ensure accurate and efficient responses, reducing the workload on human agents and improving service delivery.
What are the key features of Cognigy.AI Platform?Cognigy.AI Platform is widely implemented across industries such as finance, healthcare, and retail, reflecting its versatility. In finance, it manages client queries with precision and promptness. Healthcare utilizes it for scheduling and patient engagement, improving efficiency and patient satisfaction. Retailers deploy it for personalized customer support, enhancing shopping experiences and fostering loyalty.
Sendbird offers scalable, API-driven chat features tailored for real-time messaging, supporting ease of integration and robust developer tools.
Sendbird is known for its scalability in managing extensive chat groups and API-based operations, complemented by an effective developer portal. It offers real-time messaging with features like file transfer, receipt IDs, typing indicators, and message reactions, all enhancing communication. The platform optimizes reliability through metadata and online/offline messaging capabilities. However, users experience challenges with SDK connection delays, URL thumbnail generation, and message display, particularly during version transitions. Concerns about pricing, support, and documentation quality, as well as the absence of audio/video calls and analytics tools, are mentioned.
What are Sendbird's most noteworthy features?Sendbird is implemented across industries for chat functionality. In travel, it connects users with flight attendants; in business, it facilitates customer interactions. Healthcare utilizes it for patient-doctor consultations. Social media and real-time applications employ it for chats and video calls, optimizing communication in mobile apps and enhancing user and business interactions in salon applications.
We monitor all AI Customer Support reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.