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SaaS startup Whatfix raises Rs 24 cr in Series A funding

SaaS startup Whatfix raises Rs 24 cr in Series A funding

Tuesday April 04, 2017 , 2 min Read

Bengaluru-based B2B SaaS-based performance support startup Whatfix has raised Rs 24 crore in Series A funding led by Stellaris Venture Partners with participation from existing VC investors Helion Venture Partners and Powerhouse Ventures. Marquee Angels Gokul Rajaram, Girish Mathrubootham, Aneesh Reddy, and Vispi Daver also participated in the round. Alok Goyal, Partner at Stellaris Venture Partners, will now be joining the Whatfix board.

Team Whatfix

Whatfix has stated in a press release that it will use the capital to strengthen its R&D and increase its presence overseas, especially in the United States which constitutes 60 percent of its customer base. It claims to have seen 8x growth last year. Whatfix plans to triple their enterprise customer base over the next 12 months.

In the press release, Alok says, “User onboarding, training, and support are challenges faced by pretty much all enterprises who spend over $500 billion on software every year. Whatfix's product is a quantum leap improvement to the current approach of user help through static articles and manuals.”

Founded by Khadim Batti and Vara Kumar in April 2013, Whatfix raised Rs 5.5 crore in 2015. Whatfix’s clientele includes Flipkart, HP, and NASA among others. They claim to helps companies accelerate user performance and product adoption globally.

Whatfix says that its real-time interactive guidance technology provides the users access to contextual information, needed at the time a task is being performed. The platform helps enterprises enable their users to quickly adopt any software application thereby eliminating the time spent in referring multiple resources for help and support.

Vara, CTO and Co-founder of Whatfix, says: “Our main focus is on enhancing the product capability to further reduce decision complexity for users. To achieve this we are channeling the development efforts for predicting user behaviour to improve help contextualisation.”