Srinath Sridhar

Co-Founder & CEO @ Regie.ai

Srinath Sridhar is the co-founder & CEO of Regie.ai. He has over 15 years of experience leading high-performance engineering teams for some of the most notable tech companies. He was part of the early 100-person engineering team at Facebook and a founding engineer at BloomReach.

Sridhar has his PhD in Computer Science specializing in Algorithms and Machine Learning from Carnegie Mellon and has written numerous patents, publications and textbooks on AI.

July 8, 2024
AI sales assistants 101: What they are & how they can help your team
AI sales assistants are reshaping the sales world. Learn more about what they are, how they function & how they can help your team.
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June 14, 2024
AI in sales 101: Everything you need to know
Learn how your team can unlock the power of AI to automate repetitive tasks & deliver personalized sales experiences at scale.
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June 13, 2024
Next-best action 101: What it is, how it works & how AI can help
Want to turbocharge your GTM strategy? Find out how next-best actions can help you deliver personalized sales experiences at scale.
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June 3, 2024
How to use generative AI for personalized content creation
Want to use genAI for content personalization? We'll explain how to use it to scale content creation & share some best practices to consider.
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January 22, 2024
Introducing Sales Auto-Pilot by Regie.ai
Generative AI has taken businesses by storm this past year. But as the underlying technology graduates beyond text generation, and moves rapidly into the world of agent-based execution, Regie.ai is once again trailblazing a path to help sales teams globally get more consistent and predictable meetings and pipeline from AI-powered outbound.
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October 7, 2022
Regie.ai Raises $10M: Solving Content Creation at Scale with AI
75+ organizations like AT&T and Crunchbase have adopted the first platform for efficient development and distribution of high-performing sales copy.
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August 8, 2021
Examining The Importance of Removing Bias in Software
Software may be influenced by societal biases based on race and gender due to its binary language and simple code.
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