new York, January 7, 2022 (PRNewswire) – Codat has announced that it has entered into a product partnership agreement with Moody’s Analytics, a leading provider of small business information APIs, global analytics tools and risk assessment capabilities. The Codat API is being integrated with Moody’s Analytics CreditLens. Solution, and Moody’s Analytics’s solution allows financial service providers to connect with multiple accounting platform providers, increasing the efficiency of writing small business loans in a meaningful way. The long-term vision of this partnership is to improve access to credit for millions of small business owners nationwide.

Half of US small and medium enterprises (SMEs) report that obtaining a business loan is difficult or time consuming. Although small businesses often require low-dollar loans, these typically have higher writing costs, making it more difficult for banks to deliver efficiently. Automatic allows small bars to serve efficiently and profitably.

“We find ourselves in a time of rapid change, with new financial and technological approaches becoming increasingly important for small businesses,” he said. Peter the Lord, CEO and co-founder. “Moody’s Analytics has an impressive global reach and accessibility, so this partnership has the potential to significantly reduce the credit crunch for small and medium-sized websites (SMEs) and open new profitable channels for financial institutions. It allows them to easily access large data sets to make high quality, data-based loan decisions.

CreditLens Solution is an industry-leading credit cycle management solution with industry leading data and analysis. It simplifies and sets the standard for organizations to collect, analyze and store loan information, which provides a solid foundation for lending. Increases CreditLens decision-making framework by enabling automated distribution of current account information using codecs. It also uses the ability to instantly and intelligently capture the finances of any small business into a standard accounting chart.

“We welcome Codie as a new accounting technology partner to enhance the value of Moody’s Analytics loan solutions. Eric Grandio, Product Manager for Moody Analysis Credit Solutions. “We are both committed to helping financial services businesses better understand their customers’ concerns and behavior and make better decisions based on real-time accounting, banking and business data. Finally, the partnership will allow smaller businesses in the UK and US.

About code

Codat is a universal API for small business information. The Codex API provides real-time communication to enable software providers and financial institutions to build integrated products for their SMB customers. Code clients can range from enterprise card providers and forecasting software to lenders, and use automatic settlement, loan decision making, and more. Codat was founded in 2017 and has offices London, new York, San Francisco And Sydney. Visit for more information.

Analysis of Moody

Moody’s Analytics provides financial intelligence and analytics tools to help business leaders make better decisions faster. Our deep risk knowledge, extensive information resources and the application of technology innovation will enable our customers to navigate a growing marketplace with confidence. We are known for our industry-leading and award-winning solutions through our research, information, software and professional services to deliver a seamless customer experience. We build trust with thousands of organizations around the world, focusing on our commitment, open-mindedness and customer satisfaction. For more information on Moody’s Analytics, visit our website or connect with us on Twitter and LinkedIn.

Moody’s Analytics, Inc. It is part of Moody’s Corporation (NYSE: MCO). Moody’s Corporation reported revenue $ 5.4 billion A.D. By 2020, it will employ more than 13,000 people worldwide, and will continue to operate in more than 40 countries.

Media Relations
For coding Chelsea Allison
Communication / PR, CMAND for coding

Source code