Bolna is an end-to-end platform crafted to develop, deploy, and oversee voice-based AI agents, streamlining call automation and task execution. These AI agents are adept at navigating pauses and interruptions, emulating human-like conversation nuances, and boasting infinite memory for personalized interactions.
Offering a range of proprietary and open-source models, Bolna empowers users to select the most suitable option for their requirements. These AI agents excel in understanding customer intent, scheduling meetings, automating initial interviews and candidate screenings, and engaging in interactive dialogue for lead qualification.
Furthermore, they revolutionize customer service operations by managing inquiries, troubleshooting, and support tasks, extending to automation in sectors like EMI collections and defaulter management in insurance and lending. With scalability at its core, Bolna facilitates large-scale human-like conversations, proving invaluable for businesses and organizations of diverse sizes and types.
More details about Bolna
What types of models does Bolna offer for constructing AI agents?
Bolna offers a selection of both proprietary and open-source models, thereby providing users with a range of options to experiment with and choose the most suitable one according to their needs.
How can Bolna assist with the initial interview processes and candidate screenings?
Bolna can automate initial interview processes and candidate screenings through engaging, conversational interfaces. This can streamline HR processes, saving time and improving the quality of candidate evaluations.
In what areas do Bolna’s AI agents excel?
Bolna’s AI agents excel in various areas such as understanding customer intent, automating initial interview processes and candidate screenings, scheduling meetings, and engaging in interactive dialogue for lead qualification.
How does Bolna deal with pauses and interruptions in conversations?
Bolna is equipped to handle conversation nuances like pauses and interruptions that typically occur in human dialogues, through its sophisticated programming models and algorithms.
