The ‘No-Code’ data pipeline startup Hevi (1) has raised $8 million in a Series A funding round led by Singapore-based venture capital firm Qualgro.
The funding round also saw participation from independent investor Lachy Groom, a former executive for Stripe and investor in Notion, Figma & Front, Sequoia Capital India’s Surge, and Chiratae Ventures.
The startup plans to use the freshly raised funding to accelerate their global expansion plans. Hevo currently has its offices in Bengaluru and San Francisco and aims to expand the team across the three verticals of sales, technology, and marketing.
Founded in 2017 by IIT alumni Manish Jethani and Sourabh Agarwal, Hevo is a ‘No-Code’ data pipeline platform that offers a solution to enterprises to unify data and derive insights from several sources such as CRM, advertising channels, marketing tech, financial system software, helping build a better understanding of customers.
Having a customer-base across 20 countries
The platform has a customer base across India, Australia, Hong Kong, France, and the US.
Manish Jethani, Co-founder & CEO at Hevo, said,
“Our mission is to remove the technology barrier for non-technical users within companies and enable them to make smarter decisions with their data.”
He further added that Hevo enables companies to eliminate data silos without having to set up an engineering team to build and maintain complex integrations with multiple systems.
One of Hevo’s clients includes US-based payments firm Marqeta.
Heang Chhor, Managing Partner at Qualgro, while talking about the partnership, said that Hevo’s founders are globally-minded entrepreneurs that they like to support.
The startup provides a truly innovative solution for extracting & transforming data across multiple data sources – in real-time with full automation, which helps companies to fully capture the benefit of data flowing through the many databases and software they currently use.
The press release further mentions how customers across 20 countries already use Hevo to solve the problem of data integration for multiple use cases like monitoring key metrics in real-time, identifying new growth opportunities, and discovering and resolving issues immediately.