B2B SaaS-based performance support startup, Whatfix, has managed to raise INR 24 crore in Series A funding led by Stellaris Venture Partners.
Existing VC investors Helion Venture Partners and Powerhouse Ventures also participated in this round. Angel investors like Gokul Rajaram, Girish Mathrubootham, Aneesh Reddy, and Vispi Daver also participated in the round. With this funding, Alok Goyal who is a Partner at Stellaris Venture Partners, will now be joining the Whatfix board.
Saas-based Performance Support Startup Whatfix was founded by Khadim Batti and Vara Kumar in April 2013 in Bengaluru.
In a statement given to the press, Alok Goyal said, “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.”
In a press release, Whatfix has stated that the funds from this round will be used to strengthen its R&D and increase its presence overseas, especially in the United States which constitutes 60 percent of its customer base. Whatfix claims to have seen a growth of 8 times in the last year. The company plans to triple their enterprise customer base over the next 12 months.
In 2015, the company raised around 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, said, “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.”