top of page

Thank you for the honor, Customers. #customerintelligence.

Updated: Apr 13, 2022 badges in Spring 2022

"We are thankful for all feedback customers have been giving us and looking forward to making the user experience even better in the future," said Gaurav Bhattacharya, co-founder and CEO of "As continues to grow and lead the Customer Intelligence Movement to make the world more customer-centric, I am proud of these achievements because they validate the value we bring to our customers."’s recognition in Spring 2022

  1. Rated #1 for Likelihood to Recommend in Rev Ops & Intelligence

  2. Rated #5 for Ease of Use in Customer Success

  3. Rated #7 for Quality of Support in Experience Management

  4. Ranked #10 in Small Business for Customer Success

  5. Ranked #13 in Rev Ops & Intelligence

See what users are saying about us on G2. history:

involve started out as a volunteer software, where Gaurav and Saumya envisioned the product to help companies find more volunteers. As COVID hit in 2019, the two founders encountered a more significant industry problem - reactive churn.

Recognizing the market needs, they pivoted and shifted the focus to help companies proactively prevent customer churn with data-driven AI and predict customer behaviors using machine learning. Read more story: From idea to $16M Series A.

Since pivoted, has also made significant progress in the market and is featured in Forbes, Tech Times, Entrepreneur, LA Business Journal, and Venture Beat.

About is a Customer Intelligence Platform to give teams complete visibility into all their customers, allowing them to drive more revenue through smarter renewals and upsells.

With the most up-to-date data, recommendations for action & collaboration across the customer journey, teams can proactively deliver an amazing customer experience.

Join the Customer Intelligence Movement.


Recent Posts

See All

Our AI predicts customer behavior with greater than 90% accuracy. How do we know? We test and measure the performance of our models regularly, in a variety of ways. Model training test accuracy - 94

bottom of page