EXL Unveils Agentic AI Suite for Enterprise Data Solutions with Databricks.
PorAinvest
martes, 7 de octubre de 2025, 8:15 am ET2 min de lectura
EXLS--
The need for AI-ready data remains acute across industries. According to EXL’s 2025 Enterprise AI Study, only 30% of organizations say their data is available enterprise-wide, with the rest struggling with varying levels of data silos. Siloed data across disparate legacy systems hinders decision-making, impedes effective AI deployment, and stifles innovation. Additionally, 65% of enterprises still struggle with processing and extracting value from unstructured data, which accounts for 85% of all enterprise data [1].
EXLdata.ai directly addresses these data challenges and inefficiencies by providing an AI-native solution that connects data across the enterprise. Using agentic AI and Databricks Agent Bricks, EXLdata.ai orchestrates both structured and unstructured data, ensuring seamless access and usability through AI-driven tools, multiple agents, and pre-built accelerators. It also gives enterprises clear visibility into how data moves and is used, ensuring trust, compliance, and readiness for AI [1].
The solution is built with an open architecture, integrating seamlessly with existing client systems and partner solutions like Databricks. This modular design offers flexibility for clients to leverage individual capabilities or the full suite to meet their specific needs—all accessible through a centralized workbench [1].
EXLdata.ai is a multi-agent data solution: Purpose-built agents autonomously manage discovery, migration, engineering, governance, annotation, labeling, and operations across the entire data lifecycle, delivering faster outcomes at lower cost with production-grade reliability [1].
“EXLdata.ai is a game-changer for enterprises, redefining how organizations make their data AI-ready,” said Rohit Kapoor, chairman and CEO at EXL. “By breaking down silos, boosting data visibility, and tackling unstructured data head-on, we’re transforming the data foundation for our clients. The result of our agentic AI-first approach is sharply reduced costs, quicker implementation (weeks instead of months), and improved accuracy. EXLdata.ai will truly unlock data and AI’s potential for enterprises” [1].
Jennifer Hamel, Senior Research Director, Enterprise Intelligence Services at IDC, noted, “Enterprises that want to scale AI effectively and securely must have AI-ready data, integrated development lifecycles, and AI-infused workflows. Many organizations struggle with one or all of these requirements, but they cannot afford the time or expense of multi-year modernization projects before getting started with AI. Enterprises need support from services providers, such as EXL, that combine architectural expertise with AI-enabled delivery assets to address foundational data challenges and accelerate the creation of AI-ready data. With EXLdata.ai, EXL aims to bring an agentic, platform-agnostic approach to help organizations modernize their data estate and engineer a robust data foundation, which is essential for optimizing AI deployments and driving tangible business value at scale” [1].
Barry Dauber, Vice President, GenAI GTM at Databricks, added, “Clients are facing challenges making data AI-ready, and Databricks and EXL are addressing a major gap in the market. EXL’s solution, powered by Databricks Agent Bricks, provides pre-built agents, annotation, and observability, which helps clients enrich data sources, improve model accuracy, and embed AI into workflows. This integration allows clients to connect, prepare, and govern data at scale, accelerating enterprise-wide AI adoption and measurable business value” [1].
EXLdata.ai is available now, and clients can learn more about the solution by visiting EXL’s website [1].
References
[1] https://www.stocktitan.net/news/EXLS/exl-unveils-ex-ldata-ai-with-launch-partner-databricks-first-of-its-5fhs1y2whcji.html
EXL has launched EXLdata.ai, an agentic AI suite of data solutions in partnership with Databricks. The solution addresses the top barrier to AI adoption by making enterprise data usable for AI and accelerating the ability to inject intelligence into workflows. It unifies data modernization, governance, and unstructured data management across the entire data lifecycle. EXL's 2025 Enterprise AI Study found that only 30% of organizations have AI-ready data, highlighting the need for this solution across industries.
New York, NY, September 12, 2025 – EXL [NASDAQ: EXLS] has unveiled EXLdata.ai, an agentic AI suite of data solutions designed to address the top barrier to AI adoption by making enterprise data usable for AI and accelerating the ability to inject intelligence into workflows. This solution, developed in partnership with Databricks, aims to unify data modernization, governance, and unstructured data management across the entire data lifecycle [1].The need for AI-ready data remains acute across industries. According to EXL’s 2025 Enterprise AI Study, only 30% of organizations say their data is available enterprise-wide, with the rest struggling with varying levels of data silos. Siloed data across disparate legacy systems hinders decision-making, impedes effective AI deployment, and stifles innovation. Additionally, 65% of enterprises still struggle with processing and extracting value from unstructured data, which accounts for 85% of all enterprise data [1].
EXLdata.ai directly addresses these data challenges and inefficiencies by providing an AI-native solution that connects data across the enterprise. Using agentic AI and Databricks Agent Bricks, EXLdata.ai orchestrates both structured and unstructured data, ensuring seamless access and usability through AI-driven tools, multiple agents, and pre-built accelerators. It also gives enterprises clear visibility into how data moves and is used, ensuring trust, compliance, and readiness for AI [1].
The solution is built with an open architecture, integrating seamlessly with existing client systems and partner solutions like Databricks. This modular design offers flexibility for clients to leverage individual capabilities or the full suite to meet their specific needs—all accessible through a centralized workbench [1].
EXLdata.ai is a multi-agent data solution: Purpose-built agents autonomously manage discovery, migration, engineering, governance, annotation, labeling, and operations across the entire data lifecycle, delivering faster outcomes at lower cost with production-grade reliability [1].
“EXLdata.ai is a game-changer for enterprises, redefining how organizations make their data AI-ready,” said Rohit Kapoor, chairman and CEO at EXL. “By breaking down silos, boosting data visibility, and tackling unstructured data head-on, we’re transforming the data foundation for our clients. The result of our agentic AI-first approach is sharply reduced costs, quicker implementation (weeks instead of months), and improved accuracy. EXLdata.ai will truly unlock data and AI’s potential for enterprises” [1].
Jennifer Hamel, Senior Research Director, Enterprise Intelligence Services at IDC, noted, “Enterprises that want to scale AI effectively and securely must have AI-ready data, integrated development lifecycles, and AI-infused workflows. Many organizations struggle with one or all of these requirements, but they cannot afford the time or expense of multi-year modernization projects before getting started with AI. Enterprises need support from services providers, such as EXL, that combine architectural expertise with AI-enabled delivery assets to address foundational data challenges and accelerate the creation of AI-ready data. With EXLdata.ai, EXL aims to bring an agentic, platform-agnostic approach to help organizations modernize their data estate and engineer a robust data foundation, which is essential for optimizing AI deployments and driving tangible business value at scale” [1].
Barry Dauber, Vice President, GenAI GTM at Databricks, added, “Clients are facing challenges making data AI-ready, and Databricks and EXL are addressing a major gap in the market. EXL’s solution, powered by Databricks Agent Bricks, provides pre-built agents, annotation, and observability, which helps clients enrich data sources, improve model accuracy, and embed AI into workflows. This integration allows clients to connect, prepare, and govern data at scale, accelerating enterprise-wide AI adoption and measurable business value” [1].
EXLdata.ai is available now, and clients can learn more about the solution by visiting EXL’s website [1].
References
[1] https://www.stocktitan.net/news/EXLS/exl-unveils-ex-ldata-ai-with-launch-partner-databricks-first-of-its-5fhs1y2whcji.html
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