Data science startup Tredence raises $175M in a Series B round from Advent

Global data science and AI solutions company Tredence has raised $175 million in a Series B funding round led by Advent International as it looks to accelerate data-fueled growth and AI value realization for industries.

Advent, a global private equity firm, has significant investment experience in the technology services and software sectors. The firm’s recent investments include Encora, CI&T, NielsenIQ, Neoris, Sophos Solutions, Aareon, Canvia, and QuEST Global Services.

Founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey, Tredence aims to bridge the gap between insight delivery and value realization, providing customers with a differentiated approach to data and analytics through tailor-made solutions.

“We are thrilled to welcome Advent as a partner to Tredence,” said Tredence CEO Shub Bhowmick. “Advent’s global reach, deep sector expertise, and vast experience in scaling businesses like ours through organic and inorganic growth will be invaluable to us as we look to drive continued business innovation.”

“Tredence was founded to help clients solve some of the most complex challenges across industries through pragmatic innovation and continuous experimentation. CPF has been a value-added partner over the last few years, and we are excited to be joined by Advent on this journey,” Shub added.

“Data analytics is an exciting segment within digital IT services with secular growth. The practice is fueled by the rise in data created and captured globally, the reduced cost of compute and storage, and the opportunity for enterprises to tap into valuable insights to drive competitive advantage,” said Shweta Jalan, Managing Partner at Advent International in India.

“Tredence has built the business with deep domain expertise that positions it well to become a category-defining leader in the space. We are very excited to partner with Tredence in the next chapter of growth as they build a $500M revenue organization.”   

In 2021, the company devised a vertical AI go-to-market strategy that combines deep data science expertise with business context to solve daunting industry problems.

The company’s vertical AI strategy will focus on ATOM.AI, an integrated accelerator ecosystem that guides enterprises from design to experience to value.

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