I'm joined by Sudarshan Kamath, the Founder of smallest.ai, a research lab that aims to prove that smaller models can achieve intelligence. With a background in AI research, Sudarshan has led smallest.ai to develop custom voice agents for large enterprises, achieving the fastest voice agent in the world.
This episode explores the challenges of building successful voice agents for enterprises and how Smallest.ai achieved the fastest voice agent in the world. The conversation delves into the importance of treating voice agents like humans, with room for improvement and scaling.
Key Discussion Points:
🔥 What's causing the high latency, costs, and poor quality of voice agents for enterprises?
🤖 Why treating voice agents like humans is crucial for success
📈 How Smallest.ai achieved the fastest voice agent in the world
🚀 Why most founders get AI implementation completely wrong
📊 How to measure what's growing in the company and stay focused
Important Links
https://www.linkedin.com/in/sudarshankamath
https://www.linkedin.com/in/visheshd/
https://smallest.ai - Voice AI Suite for Enterprises
https://tryjerry.com - The Warm Outbound Engine. For your lean sales teams who want to grow without scraping, spamming, or risking their LinkedIn account.
