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

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EXL (NASDAQ: EXLS) announced integration of NVIDIA’s Build Your Own Transaction Foundation Model workflow into its AI and analytics platform, EXLerate.ai™. The collaboration targets banks, payments firms and insurers, helping them use proprietary transaction data to build unified AI models for fraud detection, risk, personalization and intelligent decisioning.

Built on NVIDIA’s accelerated computing platform, the solution lets institutions train and fine-tune models on billions of transaction events, reduce reliance on legacy, rules-based systems and speed deployment of AI-powered transaction intelligence applications across the enterprise.

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AI-generated analysis. Not financial advice.

Positive

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Market Reality Check

Price: $29.43 Vol: Volume 1,786,183 vs 20-da...
normal vol
$29.43 Last Close
Volume Volume 1,786,183 vs 20-day average 2,509,044 indicates below-normal trading activity. normal
Technical Shares trade below the 200-day MA, with price at $29.43 versus MA $37, and 39.4% under the 52-week high.

Peers on Argus

EXLS slipped 0.77% while key IT services peers like G, KD, GDS and EPAM were als...
2 Down

EXLS slipped 0.77% while key IT services peers like G, KD, GDS and EPAM were also down, and momentum names APLD and PONY showed declines of 4.34% and 8.15%, pointing to broader sector pressure.

Previous AI Reports

5 past events · Latest: Mar 16 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Mar 16 AI platform expansion Positive +3.2% Expanded EXLerate.ai with NVIDIA tools, GPUs and governance capabilities.
Mar 11 New AI solutions Positive -0.6% Launched agentic AI solutions and enhancements across the AI value chain.
Feb 24 AI event announcement Positive +0.8% Announced AI in Action Americas virtual event with major tech partners.
Feb 09 AI patents granted Positive -1.9% Reported 10 new U.S. AI patents supporting multiple data and analytics products.
Feb 05 Global AI events Positive -3.9% Announced global AI in Action 2026 events focused on scaling AI workflows.
Pattern Detected

AI-related announcements have produced mixed outcomes, with 3 of 5 prior AI news days seeing negative next-day moves despite generally positive strategic messaging.

Recent Company History

Over recent months EXL has emphasized AI, expanding NVIDIA-backed capabilities within EXLerate.ai, launching new agentic AI solutions, and promoting its AI in Action events. Prior AI news often highlighted patents, pre-built agents, and faster development cycles. Market reactions were inconsistent, with several AI updates followed by modest declines. Today’s NVIDIA transaction foundation model integration fits this pattern of deepening AI and NVIDIA collaboration and extending EXL’s enterprise-scale AI stack for financial services.

Historical Comparison

-0.5% avg move · Past AI-tagged EXL news led to an average -0.46% next-day move. Today’s -0.77% reaction sits within ...
AI
-0.5%
Average Historical Move AI

Past AI-tagged EXL news led to an average -0.46% next-day move. Today’s -0.77% reaction sits within this historically modest, slightly negative range.

AI-tagged news shows a progression from announcing AI events and patents to expanding EXLerate.ai and NVIDIA collaborations, now extending into transaction intelligence for financial institutions.

Market Pulse Summary

This announcement highlights EXL’s deepening collaboration with NVIDIA by embedding a transaction-fo...
Analysis

This announcement highlights EXL’s deepening collaboration with NVIDIA by embedding a transaction-focused foundation model into EXLerate.ai for fraud, risk and personalization use cases. In context of prior AI launches and NVIDIA partnerships, it underscores a consistent strategy to operationalize enterprise AI at scale for financial institutions. Investors may track adoption by banks and insurers, integration into existing workflows, and future updates on AI-driven revenue contribution and client count.

Key Terms

foundation model, transformer-based, transaction monitoring, recommendation engines, +1 more
5 terms
foundation model technical
"integration of NVIDIA’s Build Your Own Transaction Foundation Model developer example"
A foundation model is a large artificial intelligence system trained on vast, diverse data so it can be adapted to many tasks—like a universal engine that can be tuned to drive different products or services. Investors care because these models can lower the cost and time to build new AI-enabled offerings, create competitive advantages or concentration risks, and drive capital needs for compute, talent and regulation that affect company value.
transformer-based technical
"operationalize unified, transformer-based transaction models across fraud detection, risk"
Transformer-based describes software or models built on the transformer design, a machine‑learning approach that looks at many pieces of data at once (words, images, or numerical series) and learns how they relate to generate predictions or text. Investors care because transformer-based systems can unlock faster, more human-like features and scale to large datasets—potentially boosting products and revenue—but they also require substantial computing resources and bring accuracy, bias and regulatory risks similar to swapping in a far more powerful engine.
transaction monitoring technical
"transition from siloed, rules-based systems to intelligent, adaptive transaction monitoring"
Transaction monitoring is the ongoing review of a company's or financial account's money movements to spot unusual, suspicious, or noncompliant activity such as fraud, money laundering or sanctions violations. It matters to investors because strong monitoring reduces the chance of regulatory fines, legal costs and reputational damage that can erode value; think of it as a security camera plus an alarm system for a firm’s cash flows, often using software to flag odd patterns for human review.
recommendation engines technical
"support high-value use cases including, fraud detection, anomaly identification, personalization, recommendation engines"
Recommendation engines are software systems that analyze a person’s past choices, behavior, or characteristics to suggest products, articles, stocks, or other items they might want next. For investors, these engines shape what research, trading ideas, or deals they see—like a smart clerk who remembers preferences—and can influence buying patterns, market attention, and revenue streams, so understanding their role helps assess information sources and potential biases.
agentic AI technical
"operationalize foundation models, agentic AI and industry-specific AI solutions at scale."
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.

AI-generated analysis. Not financial advice.

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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.

Media Contact   
Keith Little    
media.relations@exlservice.com   


FAQ

What did EXL (NASDAQ: EXLS) announce about NVIDIA Transaction Foundation Model on June 4, 2026?

EXL announced it is integrating NVIDIA’s Build Your Own Transaction Foundation Model developer example into its EXLerate.ai platform. According to EXL, this will help financial institutions rapidly build and deploy AI-powered transaction intelligence applications using their own proprietary data for fraud, risk and personalization.

How will EXL’s integration with NVIDIA Transaction Foundation Model help fraud detection for EXLS clients?

The integration is designed to support advanced fraud detection by using unified, transformer-based transaction models. According to EXL, financial institutions can train on billions of transaction events, improving contextual understanding of customer behavior and enhancing fraud, anomaly and risk monitoring versus fragmented, rules-based systems.

What role does EXLerate.ai play in EXL’s NVIDIA Transaction Foundation Model workflow?

EXLerate.ai serves as the platform where the NVIDIA developer example is embedded and operationalized. According to EXL, this allows institutions to build, customize and deploy transaction foundation models with their proprietary datasets, reducing manual feature engineering and accelerating AI application rollout across fraud, risk and customer engagement use cases.

Which financial institutions can benefit from EXL and NVIDIA’s transaction intelligence collaboration (EXLS)?

Banks, payments firms and insurers are the primary targets for this collaboration. According to EXL, these organizations can move from siloed, task-specific AI and rules-based systems toward a unified intelligence layer across transaction activity covering fraud detection, underwriting, risk management, personalization and recommendation engines.

What strategic goal does EXL aim to achieve with NVIDIA’s Transaction Foundation Model integration?

EXL aims to enable a unified transaction intelligence layer for enterprises using foundation models. According to EXL, this expansion of its collaboration with NVIDIA supports operationalizing foundation models, agentic AI and industry-specific AI solutions at scale, helping clients build enterprise-grade transaction decision systems more quickly.