Vaibhav Saxena, Co-Founder at Infer, is our first guest to make a second appearance on the AI Minds Podcast. Infer are a company which accelerates revenue growth with AI voice bots automating phone conversations and executing tasks like humans for insurance and lending.
Episode Highlights:
- Vaibhav explains how tailoring voice agents to user preferences—such as tone, pitch, and cadence—can significantly enhance engagement and conversion rates.
- Vaibhav highlights the importance of testing one variable at a time, such as voice characteristics or script style, to uncover what resonates most with different customer segments.
- Vaibhav discusses how factors like age, location, and user behavior influence voice preferences, enabling more effective and relatable interactions.
- Vaibhav Introducing natural speech imperfections like "ahs" and "ums" makes voice agents feel more human and relatable, addressing the common criticism of robotic interactions.
- Vaibhav shares his aspiration for a future where voice agents intuitively understand and adapt to individual user preferences, creating seamless and empathetic customer experiences.
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Connect with Vaibhav Saxena:
https://www.linkedin.com/in/vaibsite/
https://www.infer.so/
Connect with Demetrios:
https://www.linkedin.com/in/dpbrinkm/
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What is AIMinds?
Welcome to the AI Minds podcast, where we explore how the companies of tomorrow are built with an AI-first approach.
This series of episodes are brought to you by Deepgram the number one Speech to Text, Text to Speech, and voice API on the internet trusted by the world’s top Enterprises, Conversational AI Leaders, & Startups like Spotify, Twilio, NASA and Citi Bank.