Focus on the development of voice bots and don’t worry about the rest. We’ve made sure you have all the right tools for your projects
Outbound campaigns and processing of incoming calls at any scale.
Ready-formed call processing logic.
CAILA, a built-in NLU service, improves the accuracy of intent recognition and the speed of processing logs. Advanced algorithms for processing queries in natural language are already built into the core based on machine learning technologies, rule-based approaches, semantic and morphological analysis.
Managing the bot's reaction to interruptions so that it sounds like a human: train it to keep talking or pause to hear out the customer.
Analytics and statistics
Full cycle development environment
Test the bot before publishing to make sure telephony operates smoothly.
Develop with Kotlin
Create complex scripts in the free open-source JAICF framework, and trust JAICP with hosting and configuring telephony. You can write code in Kotlin and Java, activate arbitrary libraries, use suitable debugging, extend notations and integrate with external systems.Example of JAICF voice bot
Engage in 10,000 conversation topics
The CAILA NLU core classifier will let you train the bot on various topics so that it fully understands the speech and customers’ intentions
Transfer the call to the agent
The bot will realize the complexity of the question and transfer the call to the agent or to a specific department
A smart virtual assistant will turn to an external system during a call to find information and instantly answer the customer
Listen like a human
The bot will ignore such interjections as "aha" or "mhm” and will flexibly respond to interruption
Add background noise to create a call center vibe, as if the person is talking to an agent
Set up any SIP channels to ensure a strong connection under any load
Match customers’ needs
Launch API calls, set up a flexible schedule and controlled callbacks when it is convenient for the client to call
Won't call at night
The bot takes into account the time zones of customers and calls them strictly at a convenient time.
Customers may not even realize that they are talking to a robot, as the call imitates the real contact center noise
Recognize the answering machine
The robot will know when there is another robot answering the call on the other end of the line. It can leave a message or end the call
The bot will know when it is being interrupted and will be able to immediately answer or skip the interjections of active listening
The voice bot will add statistics to dashboards, which will allow you to learn more about the calls and improve customer service
For development and prototyping
Full platform access
Resources for 100 minutes of calls (NLU, ASR, TTS) every month
Option to purchase additional packages of minutes and traffic
For commercial use
Option to install in the circuit
Priority technical and content support
14 days free
Have questions about plans?