Utilizes machine learning to convert spoken words to text, adapting to accents and dialects for improved clarity.
Facilitates real-time API connections with CRMs and backend databases for enhanced personalization and use-case adaptability.
Employs advanced Natural Language Processing (NLP) engines for nuanced, context-aware, and appropriate responses.
Leverages text-to-speech technology for human-like vocal responses.
Smart Call Routing
Directs calls to appropriate departments, increasing efficiency and reducing wait times.
Archives voice and text transcripts for subsequent review and improved customer analytics.
Uses WebRTC for real-time, low-latency audio streaming, enabling smoother, clearer conversations.
Automated Post-Call Actions
Performs automated tasks such as sending follow-up texts, creating support tickets, and initiating surveys.
Utilizes RESTful APIs for quick deployment, even when integrating advanced features.
Low Code/No Code Options
Enables easy creation and customization through an intuitive UI, eliminating the need for coding expertise.
Conducts conversations in over 40 languages to support a global customer base.