EXL launches agentic AI-native suite of data solutions

Global data and AI company EXL has launched EXLdata.ai, an agentic AI-native suite of data solutions developed in partnership with Databricks.

EXLdata.ai is a multi-agent data solution that uses purpose-built, autonomous agents to handle tasks across the data lifecycle—from discovery and migration to governance, annotation, and operations.

By embedding AI directly into data management, the platform brings together data modernisation, AI-readiness, and intelligent automation, intending to help enterprises accelerate the adoption of AI across their workflows.

Databricks serves as the launch partner, integrating EXLdata.ai with its flagship Databricks Agent Bricks technology to help organisations build and optimise AI agents on enterprise data.

Built with an open, modular design, the platform allows organisations to integrate individual capabilities or deploy the entire suite through a unified, easy-to-use workbench.

EXLdata.ai has also been developed to work with existing client infrastructure and partner ecosystems, making it a plug-in solution rather than a replacement.

EXL's Australia 2025 AI Readiness Survey found that 35% of organisations say they do not have a data strategy, and an additional 18% are still planning to implement one, so over half lack a clear data governance direction

“EXLdata.ai is a game-changer for organisations wanting to make their data AI-ready,” said Rohit Kapoor, chairman and CEO of EXL.

“We’re helping businesses break down silos, increase visibility, and harness unstructured data through AI-native processes. This means reduced costs, faster implementation, weeks instead of months, and improved accuracy. We’re unlocking the data foundation that AI needs to deliver real results.”

“Enterprises looking to scale AI effectively need AI-ready data and robust governance,” said Barry Dauber, VP of GenAI GTM at Databricks.

“EXL’s solution, powered by Databricks Agent Bricks, helps clients connect, prepare, and govern data at scale—accelerating AI adoption and measurable business outcomes.”