en.Wedoany.com Reported - EXL, a global data and AI company, has integrated NVIDIA's "Build Your Own Transaction Foundation Model developer example" into its AI and analytics product portfolio, aiming to help financial institutions rapidly develop and deploy transaction intelligence applications using their own proprietary data.

Banks, payment companies, and insurance firms are gradually phasing out fragmented, task-specific AI models in favor of unified, Transformer-based transaction models. In this trend, EXL assists clients in operationalizing such models in scenarios such as fraud detection, risk management, personalization, and recommendations.

Based on the NVIDIA accelerated computing platform, this example supports organizations in training and fine-tuning models on billions of transaction events. These events cover payments, transfers, product interactions, and behavioral signals, helping to build a richer, more contextual understanding of customer behavior and financial activities.

Kevin Levitt, Senior Director of Global Business Development for Financial Services at NVIDIA, noted that every financial institution sits on decades of transaction data, which holds answers to critical issues such as fraud, risk, underwriting, and customer experience. By combining this with EXL's expertise in financial services, the example helps institutions build a shared intelligence architecture, driving more informed decisions and improving customer outcomes.

EXL embeds the aforementioned example into its EXLerate.ai platform, enabling financial institutions to build, customize, and operationalize transaction foundation models based on their own proprietary datasets. This reduces reliance on fragmented legacy systems and manual feature engineering, accelerating the shift from rule-based, siloed systems to intelligent, adaptive transaction monitoring and decision-making. These capabilities speed up the deployment of enterprise-grade AI-driven applications and support high-value use cases such as fraud detection, anomaly identification, personalization, recommendation engines, and intelligent decision-making.

Vikas Sharma, Head of Banking and Capital Markets at EXL, believes that the next frontier of enterprise AI is unified transaction intelligence. In the past, companies built separate models for fraud, underwriting, risk, and customer engagement, but the future belongs to organizations that can create a unified intelligence layer for all transaction activities. He stated that by leveraging this new blueprint along with EXL's domain expertise and AI engineering capabilities, they are helping customers build this foundation faster at enterprise scale.

This announcement marks a deepening of the partnership between EXL and NVIDIA, and enhances EXL's ability to help enterprises operationalize foundation models, agentic AI, and industry-specific AI solutions at scale.

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