Railz and Powerlytics partner to provide more actionable financial data to banks and fintechs
We are so excited to announce our partnership with the incredible Powerlytics! We have joined forces to provide more granular and actionable data to banks and fintechs, so they can better support their small business and mid-market customers’ success. You can learn more about our partnership in the official press release between Railz and Powerlytics.
Railz and Powerlytics provide more granular and actionable data to banks and fintechs
What is Railz?
Railz is building the largest financial data network to support the future of finance. Railz is the only financial data as a service that connects, normalizes, and provides insights and analytics on financial data from top accounting service providers.
What is Powerlytics?
Powerlytics provides the most comprehensive, accurate and granular consumer and business financial data available in the U.S covering over 200 million adults and 30 million businesses. Our proprietary big data analytics platform analyzes anonymized financial information from publicly available U.S. government sources and reconstructs it into easily understood and actionable financial information.
Kevin Sheetz, cofounder and CEO of Powerlytics, on the partnership with Railz
Railz and Powerlytics partner up
Powerlytics and Railz have partnered to provide more granular and actionable data to banks and fintechs, so they can better support their small business and mid-market customers’ success. Together, Powerlytics data and the Railz API support financial services companies to drive impactful relationships with their small and medium-sized business (SMBs) customers. Our partnership helps financial services better understand the competitive landscape of their SMBs, offer more relevant financial services, and building the most effective credit models to improve decisions around small business loans for their customers.
We're building the largest financial data network to empower financial institutions make sense of messy accounting data.