AI in Action E170: Nevin Raj, Co-Founder and COO at Grata

5 (1)

Welcome to episode 170 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.

Today's guest is Nevin Raj, Co-Founder and COO at Grata in New York.  Founded in 2016, Grata is a B2B search engine that helps private equity, sales and marketing teams find and target private companies. Grata’s machine learning technology enables you to identify similar companies, find new targets you would otherwise miss and automate personalized outreach. Grata’s platform also powers a suite of digital intelligence products for voice of customer diligence and competitive intelligence.

In the episode, Nevin will tell you about: 

The motivation to setting up Grata

The problems they are helping companies solve within business development

Applying Data Analytics and Machine Learning to solve key problems

The journey to building and scaling a successful team

What excites him the most for the future at Grata

How NLP will help continue to evolve their services in the future

To find out more about Nevin and all the great work at Grata, check out the website or follow them on Twitter @gratadata. You can also follow Nevin on Twitter @nraj44 or connect with him on Linkedin.

What did you think of Nevin's podcast? Where do you see the future of Artificial Intelligence and Machine Learning heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you would like to hear more from AI in Action then please subscribe and don’t forget to like and share with your friends on social media.

Subscribe to the AI in Action Podcast:

0 (2)

Leave a Comment

* Indicates a required field