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§ Private Profile · San Francisco, CA, USA
Big data analytics services for B2B companies, focused on market identification and in-market audience targeting.
Key people at GrepData.
GrepData was founded in 2013 by Viral Bajaria (Founder).
GrepData, based in San Francisco, CA, provided big data analytics services to B2B companies, specializing in identifying total addressable markets and targeting in-market audiences through advertising, personalization, and integration with AdTech, MarTech, and SalesTech tools. The company focused on scaling machine learning systems and predictive analytics, leveraging its expertise in enterprise SaaS, product pricing, and go-to-market strategies, with early work including a consulting project for Cisco. GrepData maintained an employee count of 51 prior to its merger. In 2013, GrepData merged with Amanda Kahlow's team to form 6sense, a marketing intelligence platform that subsequently raised a $12 million Series A from investors including Battery Ventures, Silicon Valley Bank, and Venrock. Viral Bajaria, GrepData's founder, became CTO and Co-Founder of 6sense, with GrepData's technology contributing to 6sense's predictive analytics platform. GrepData was founded in Winter 2013 by Viral Bajaria.
Key people at GrepData.
GrepData was founded in 2013 by Viral Bajaria (Founder).
GrepData was a big data analytics startup focused on predictive analytics, primarily serving B2B clients by leveraging large-scale data to generate actionable business insights. The company built advanced machine learning-driven products that helped sales and marketing teams predict customer behavior and optimize outreach efforts. GrepData’s solutions addressed the challenge of extracting meaningful signals from vast, complex datasets to improve decision-making and business growth. The company demonstrated strong growth momentum by evolving its technology and team, eventually playing a foundational role in the creation of 6sense, a leading predictive intelligence platform for sales and marketing[1][4].
GrepData was founded by a team of engineers with deep expertise in big data and machine learning. The idea emerged from their experience working on big data consulting projects, including one for Cisco, which highlighted the potential for predictive analytics in enterprise sales and marketing. The founding team included Viral Bajaria and Premal Shah, among others, who combined their technical skills with business insights from partners like Amanda Kahlow. This synergy led to the formal establishment of 6sense in 2013, which grew out of GrepData’s technology and vision. Early traction came from proving the business case for predictive intelligence in B2B markets, leading to rapid scaling and significant funding[1][4].
GrepData rode the wave of increasing demand for big data analytics and AI-driven predictive intelligence in enterprise sales and marketing. The timing was critical as businesses sought to harness vast amounts of behavioral and transactional data to gain competitive advantages. Market forces such as digital transformation, cloud adoption, and the rise of AI created fertile ground for GrepData’s technology. By enabling more precise targeting and forecasting, GrepData influenced the broader ecosystem by demonstrating how predictive analytics could transform traditional sales and marketing processes, paving the way for platforms like 6sense to become category leaders[1][4].
The transition from GrepData to 6sense marked a significant evolution, positioning the company to capitalize on growing trends in AI and big data for B2B sales intelligence. Looking forward, the continued integration of machine learning, behavioral data, and automation will likely drive further innovation in predictive analytics platforms. As these technologies mature, companies like 6sense (originating from GrepData’s foundation) are poised to deepen their influence by enabling smarter, data-driven decision-making across industries. The legacy of GrepData underscores the importance of combining technical expertise with clear business vision to create impactful big data solutions[1][4].