EXL announces integration with NVIDIA Transaction Foundation Model workflow to help financial institutions build next-generation AI for fraud, risk and transaction intelligence

NEW YORK, June 04, 2026 (GLOBE NEWSWIRE) -- EXL (NASDAQ:EXLS), a global data and AI company, announced the integration of NVIDIA's Build Your Own Transaction Foundation Model developer example into its AI and analytics offerings, enabling financial institutions to rapidly build and deploy transaction intelligence applications powered by their own proprietary data.

As banks, payments firms and insurers move beyond fragmented, task-specific AI models, EXL is helping clients operationalize unified, transformer-based transaction models across fraud detection, risk management, personalization and recommendation use cases.

Built on NVIDIA's accelerated computing platform, the Build Your Own Transaction Foundation Model developer example enables organizations to train and fine-tune models on billions of transaction events—including payments, transfers, product interactions and behavior signals — to create a richer, contextual understanding of customer behavior and financial activity.

"Every financial institution is sitting on decades of transaction data that holds the answer to their biggest challenges — fraud, risk, underwriting, customer experience," said Kevin Levitt, senior director of global business development for the financial services industry at NVIDIA. "By integrating the Build Your Own Transaction Foundation Model developer example with EXL's deep financial services expertise, financial institutions create a shared intelligence fabric that drives smarter decisions and better customer outcomes."

By embedding the developer example into EXLerate.ai™, EXL helps financial institutions build, customize and operationalize transaction foundation models using their own proprietary datasets. This reduces reliance on fragmented legacy systems and manual feature engineering, while accelerating the transition from siloed, rules-based systems to intelligent, adaptive transaction monitoring and decision systems. These capabilities speed the deployment of AI-powered applications across the enterprise and support high-value use cases including, fraud detection, anomaly identification, personalization, recommendation engines and intelligent decisioning.

"The next frontier of enterprise AI is built on unified transaction intelligence," said Vikas Sharma, head of the banking and capital markets at EXL. "For years, firms have built separate models for fraud, underwriting, risk and customer engagement, but the future belongs to institutions that can create a unified intelligence layer across all transaction activity. By leveraging this new blueprint with EXL's deep domain expertise and AI engineering capabilities, we are helping clients build that foundation faster and at enterprise scale."

This announcement expands EXL's collaboration with NVIDIA and deepens its ability to help enterprises operationalize foundation models, agentic AI and industry-specific AI solutions at scale.

For more information about EXL's AI solutions, visit here.

About EXL

EXL (NASDAQ:EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have approximately 67,000 employees spanning six continents. For more information, visit www.exlservice.com.

Cautionary Statement Regarding Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the United States Private Securities Litigation Reform Act of 1995. You should not place undue reliance on those statements because they are subject to numerous uncertainties and factors relating to EXL's operations and business environment, all of which are difficult to predict and many of which are beyond EXL's control. Forward-looking statements include information concerning EXL's possible or assumed future results of operations, including descriptions of its business strategy. These statements may include words such as "may," "will," "should," "believe," "expect," "anticipate," "intend," "plan," "estimate" or similar expressions. These statements are based on assumptions that we have made in light of management's experience in the industry as well as its perceptions of historical trends, current conditions, expected future developments and other factors it believes are appropriate under the circumstances. You should understand that these statements are not guarantees of performance or results. They involve known and unknown risks, uncertainties and assumptions. Although EXL believes that these forward-looking statements are based on reasonable assumptions, you should be aware that many factors could affect EXL's actual financial results or results of operations and could cause actual results to differ materially from those in the forward-looking statements. These factors, which include our ability to maintain and grow client demand, our ability to hire and retain sufficiently trained employees, and our ability to accurately estimate and/or manage costs, rising interest rates, rising inflation and recessionary economic trends, are discussed in more detail in EXL's filings with the Securities and Exchange Commission, including EXL's Annual Report on Form 10-K. You should keep in mind that any forward-looking statement made herein, or elsewhere, speaks only as of the date on which it is made. New risks and uncertainties come up from time to time, and it is impossible to predict these events or how they may affect EXL. EXL has no obligation to update any forward-looking statements after the date hereof, except as required by federal securities laws.

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