EXL Launches Agentic AI Suite of Data Solutions in Partnership with Databricks

Artificial intelligence is only as powerful as the data it learns from. But fragmented systems, siloed data repositories, and the overwhelming scale of unstructured information pose significant barriers to harnessing AI's full potential. Recognising this critical issue, EXL , a global leader in data and AI services, has launched its agentic AI-native platform, EXLdata.ai , designed to tackle the most persistent barrier in enterprise AI adoption. In partnership with Databricks , this first-of-its-kind agentic AI-native suite is designed to unify and automate data management at scale, breaking down silos and accelerating AI workflows. Enterprises everywhere are facing a big problem. Data scattered across different systems and locked away in silos, making it tough to truly take advantage of AI. According to the 2025 EXL Enterprise AI Study , only 30% of organizations report having enterprise-wide data availability, leaving a vast majority struggling with inconsistent, inaccessible data. Furthermore, unstructured data, accounting for approximately 85% of all enterprise data, remains a daunting obstacle, with 65% of companies still challenged to process and extract meaningful insights from it. EXLdata.ai directly confronts these challenges by providing an AI-native, modular data solution that orchestrates both structured and unstructured data across the enterprise. Leveraging agentic AI and Databricks’ Agent Bricks, the suite enables enterprises to automate discovery, migration, engineering, governance, annotation, labeling, and operations seamlessly. This orchestration grants organizations end-to-end visibility into data movement and utilization, enhancing trust, compliance, and readiness for AI deployment. Al-First Architecture for Value EXLdata.ai takes a smart, hands-free approach to managing data. It uses autonomous AI agents, each designed to handle different stages of the data journey, from discovery and migration to governance and labeling. These agents work together smoothly, replacing slow, error-prone manual processes with a real-time system that can fix itself and adapt as needed. The platform’s agentic architecture integrates closely with Databricks Unity Catalog , facilitating scalable data governance that dramatically reduces risk, accelerates implementation from months to weeks, and lowers operational costs. The platform’s flexibility permits enterprises to adopt EXLdata.ai holistically or selectively, tapping into pre-built accelerators or tailored modules via a centralized workbench designed for ease of use and rapid deployment. This design reflects EXL’s commitment to making AI adoption practical and scalable even for organizations with complex, multi-cloud data environments. Rohit Kapoor , chairman and CEO of EXL, emphasized the transformational potential of EXLdata.ai. “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, and improved accuracy. EXLdata.ai will truly unlock data and AI’s potential for enterprises,” said Rohit. EXL’s partnership with Databricks amplifies the solution’s capabilities, blending EXL’s deep architectural expertise with Databricks’ best-in-class data and AI platform. “Clients face critical challenges making data AI-ready, and by integrating Databricks Agent Bricks with EXLdata.ai, we provide pre-built agents and observability that enrich data sources, improve model accuracy, and embed AI into workflows, accelerating enterprise-wide AI adoption and delivering tangible business value,” said Barry Dauber , Vice President, GenAI GTM at Databricks. Market Confidence EXL’s financial health underpins its ability to innovate and deliver such transformative solutions. With a market capitalization of $6.87 billion and a notable 15% year-over-year revenue growth, EXL demonstrates resilience and growth potential. Its latest quarterly results exceeded expectations, with adjusted earnings per share (EPS) at $0.49 surpassing forecasts and revenues of $514.5 million beating estimated figures. Esteemed financial institutions, including JPMorgan , maintain an overweight rating on EXL, reflecting strong investor confidence. By uniting modernization, governance, and unstructured data management in one AI-native platform, it solves the underlying data foundation issue that impedes AI scalability. With open architecture enabling seamless integration with existing client systems and partner solutions, the suite enhances current investments without disruption. The multi-agent approach also empowers enterprises to leverage AI’s capabilities fully, automating data management processes and enabling smarter, faster decision-making.