Acceldata, a leader in data observability and agentic data management, today unveiled its Agentic Data Management Platform at Autonomous 25, a premier event for data and AI leaders. Alongside this, the company introduced the xLake Model Context Protocol with Distributed Compute Server (MCP-DC) — the first distributed data control plane purpose-built for intelligent agents. This platform enables seamless data governance and AI-driven operations across hyperscalers, Snowflake, Databricks, and on-premises systems. The platform will be generally available starting July 31, 2025, marking a new era in autonomous, cross-platform data infrastructure.
Meeting the Demands of the Agentic AI Era
Rohit Choudhary, co-founder and CEO of Acceldata, highlights the paradigm shift required for today’s data strategy: “The rise of agentic AI demands moving from static oversight to autonomous, intelligent control. Traditional governance tools no longer suffice in an environment where data flows through multiple platforms, AI agents, and self-service users.”
Acceldata’s platform introduces intelligent agents capable of reasoning and acting autonomously—enabling AI-ready data quality, dynamic governance, and operational resilience. This shift promises a move away from manual human decisions toward AI-led collaboration and fully autonomous data operations.
Core Capabilities of Agentic Data Management
- Real-time closed-loop control: Continuous monitoring, planning, validation, and enforcement of data quality and governance policies to ensure agility, trust, and compliance.
- Automated root cause analysis and remediation: Agent-driven responses streamline anomaly detection and resolution with precision.
- Business Notebook for collaboration: A natural language interface uniting technical insights and business priorities for collaborative decision-making.
- Extensibility: Enterprises and partners can build and deploy custom agents for industry-specific challenges.
- Embedded context and policy engines: Eliminates the need for standalone data catalogs by integrating lineage, context, and governance into AI operations.
Introducing xLake MCP-DC Server — The Next-Gen Distributed Data Control Plane
Acceldata’s xLake MCP with Distributed Compute (MCP-DC) redefines metadata context by making it dynamic and executable, enabling real-time observability, policy enforcement, and intelligent action. Key features include:
- Distributed Policy Compute Engine: Native execution of governance, quality, and security policies on each platform to remove bottlenecks.
- Cross-Lake Coordination Protocol: A lightweight, intelligent protocol enabling seamless agent operation across lakes, warehouses, and pipelines—boosting context enrichment and policy accuracy.
- AI-Powered Semantic Layer: Translates natural language queries into optimized data lake interactions, removing the need for manual coding.
- Fine-Grained Security and Governance: Enterprise-grade access control, dynamic masking, and continuous auditing across hybrid and multi-cloud environments.
Ashwin Rajeeva, co-founder and CTO, states, “MCP-DC lays the foundation for transformative enterprise AI, uniting dynamic context with distributed compute to unlock AI agents’ full potential.”
Acceldata’s launch of the Agentic Data Management Platform and xLake MCP-DC Server heralds a new era of autonomous, AI-driven data governance. By delivering intelligent, distributed control and real-time enforcement across diverse platforms, Acceldata empowers enterprises to confidently navigate the complexities of the agentic AI era.
