This collaboration enables enterprises to leverage Stripe financial infrastructure, AI/ML innovation from Quantiphi, and Amazon Web Services (AWS) expertise to facilitate the analysis of revenue data.
MARLBOROUGH, Mass. – Quantiphi, an AI-first digital engineering company, announced its go-to-market initiative with Stripe, Data for Payment Analytics. Quantiphi, as a AWS Premier Tier Services Partner, will collaborate with AWS and Stripe to provide extensive revenue management tools for existing and new businesses.
Data for Payment Analytics is a joint effort between Quantiphi and Stripe to use the power of data, leverage modern financial infrastructure, and access Quantiphi’s AI/ ML and analytics expertise. This will help organizations achieve business resiliency, gain customer insight, and deliver exceptional customer experiences.
Quantiphi will apply its deep AWS data warehouse and analytics expertise to turn data into insights. With components of the modern data stack alongside Stripe financial infrastructure, businesses can quickly and easily collect data from varied sources. Businesses can then store it in scalable, high-performance platforms to analyze and make informed decisions.
“This new frontier of Data for Payment Analytics means that both organizations will produce collaborative solutions to address supply chain gaps, inventory issues, predict customer interactions and personalize experiences for better business outcomes,” said Jim Keller, AWS Global Leader of Quantiphi.
“We’re thrilled to partner with Quantiphi and help more businesses leverage Stripe’s financial infrastructure,” said Joanna Raitano, Head of Stripe Partner Ecosystem, Americas. “As more companies grow their online revenue, this partnership will help them better manage their financial operations and save time.”
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Quantiphi solves the most demanding and complex business problems by combining deep industry experience, disciplined cloud, data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at an unprecedented speed. For more on Quantiphi’s capabilities, visit www.quantiphi.com.