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Cleareye.ai Announces Strategic Alliance with J.P. Morgan

Collaboration that is set to transform Trade Finance operations
Date: 2022-09-22

NEW YORK-- September 22, 2022 -- Cleareye.ai announces a new global strategic alliance with J.P. Morgan’s Trade and Working Capital group. The alliance leverages an industry-leading digital solution, ClearTrade, to solve both the challenges Trade Finance operations face today and tomorrow. Through significant advances in technology, the ClearTrade platform streamlines the onerous due diligence processing associated with Trade Finance transactions and the multitude of physical documents that are still prevalent in the industry today.

Trade Finance is an industry going through a digital transformation. The ClearTrade solution offers a revolutionary change for banks to ensure they can continue to operate in this evolving landscape plagued with a significantly increasing cost base.

Over the past year, ClearTrade has been integrated into J.P. Morgan’s Trade Processing System and is now live supporting transactions in the APAC region, with a global rollout planned over the coming quarters. Through this initiative, J.P. Morgan will be able to further leverage the digitizing of documents using powerful image processing solutions with the ability to extract, validate and accurately classify unstructured data. This level of digitization allows for:

· Smart interpretation of data and documents to automate letter of credit document examination
· Contextual and configurable rules engine to supplement existing Uniform Customs and Practice for Documentary Credits and International Standard Banking Practice rules
· Identification of trade-based money laundering and sanctions red flags
· Seamless integration into any existing Trade Finance back-office platforms

Cleareye firmly believes that the ClearTrade solution has the capability to increase Trade Finance operations productivity by up to 70%. Through the automated examination of thousands of trade presentations, including both industry common and non-standard document types, the solution has demonstrated up to 9x increase in trade velocity, significant reduction in document checking errors, greater than 85% accuracy standards and up to 80% reduction in E2E processing time.

Stuart Roberts, Global Head of Trade & Working Capital for J.P. Morgan says: “Digitizing trade finance documentation has the ability to provide real benefits to J.P. Morgan and our clients. Banks have grappled to solve the puzzle of paper and manual data entry in this business for many years and our alliance with Cleareye is taking meaningful steps towards solving the problem. The ClearTrade platform also helps us to accelerate and future-proof our clients’ business while reinvesting savings into enhancing controls and risk management.”

Mariya George, CEO and Co-founder for Cleareye, states: “J.P. Morgan maintains a gold standard for digital innovation while ensuring regulatory needs are met, and we are very excited about the ClearTrade implementation and go-live. This also reinforces the strategic alliance between our firms and the vision to digitize trade operations for banks across the globe.”

About Cleareye.ai Cleareye.ai is an advanced Artificial Intelligence & Machine Learning platform that enables banks to launch products at a rapid pace. Headquartered in California with offices in New York, Bahrain and India, the company aims to simplify banking. The platform leverages technology breakthroughs with a fully automated document processing layer, unified ML lifecycle management, data management, model governance and dynamic rules engine leveraging NLP. This will transform banks into hyper agile organizations, that customers want to bank with and delivers exceptional customer service, drive short term gains and long-term growth, and generate insights to sustain momentum at digital scale. Cleareye.ai was founded by leaders in global technology, representing decades of entrepreneurial and digital systems experience in banking. For more information, visit www.cleareye.ai



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