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Acceldata, the market leader in agentic data management, today announced the general availability of its Autonomous Data & AI Platform, the industry's first platform that brings governed compute to wherever enterprise data lives. This platform enables enterprises to autonomously run data analytics and AI agents with trust across their cloud, on-premises, hybrid, and sovereign environments – a critical challenge many organizations face as they deploy enterprise AI.
Acceldata launches Autonomous Data & AI Platform with xLake compute paradigm for hybrid environments.
GLG survey of Fortune 1000/Global 2000 executives: 80% of $5B+ enterprises run hybrid (warehouse + lakehouse) architectures; 75% operate four or more data platforms in production.
40% of executives cite governance fragmentation as No. 1 cross-platform challenge.
Supporting AI initiatives is No. 1 source of board-level pressure on data infrastructure (33%).
Platform delivers petabyte-scale compute, secure governed runtime, and agentic runtime for business applications.
Available generally on May 19.
"The lakehouse architecture was built for human access. It broke in the agentic era," said Acceldata founder and CEO Rohit Choudhary. "We started Acceldata with the conviction that enterprise data would never consolidate, that hybrid would be the durable reality. The data and AI platforms must evolve to support it. Our fortune 500 and global 2000 customers are aligned with our vision and direction."
Enterprise data management platforms such as those offered by Databricks and Snowflake consolidate data, compute and control in a single stack. However, this single-plane architecture was designed for an analytics world where data moved to the engine; it cannot support or keep pace with today's agentic AI requirements.
To address such complex, fluid environments, Acceldata created the Autonomous Data & AI Platform, an xLake compute paradigm where analytics and agents securely operate on enterprise data, regardless of where it resides, to deliver business outcomes. The platform is hybrid by default, operates autonomously, routes workloads to the right infrastructure, augments data quality, optimizes operational cost and enforces governance at machine speed. This architecture supports thousands of agents across hundreds of data sources.
Hybrid is the reality of AI, not the exception. Eighty percent of $5 billion-plus enterprises now run hybrid (warehouse + lakehouse) architectures, and 75% operate four or more data platforms in production, yet the platforms most enterprises rely on were built on the assumption that data would consolidate. Governance is fracturing under that reality. Forty percent of executives cite governance fragmentation across platforms as their No. 1 cross-platform challenge. AI initiatives are stalling at the data layer, with data migration projects taking multiple years.
The xLake platform delivers: petabyte-scale compute for enterprise analytics and AI in a hybrid native environment with automated routing to cost efficient infrastructure locations; a secure and governed runtime with autonomous identification of governance boundaries and data availability; and agentic runtime for business applications to solve problems across front, back and middle offices with secure access to all enterprise data.
Founded in Campbell, Calif. in 2018, Acceldata is the leader in data observability and agentic data management. The company's platform unifies data quality, governance and observability into an intelligent, AI-driven fabric. Trusted by Fortune 500 companies worldwide, Acceldata empowers businesses to unlock the full potential of their data in the AI era. Customers include Dun & Bradstreet, PubMatic, PhonePe (Walmart), HCSC and more.
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