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Model Context Protocol - Distributed Compute (MCP-DC)

Governed, Petabyte-Scale Access to Enterprise Data

Acceldata MCP-DC connects LLMs to your distributed enterprise data — with security, compliance, and governance built in.

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TRUSTED BY ENTERPRISE DATA TEAMS WORLDWIDE

The Problem

Your AI Projects Are Stalling at the Data Layer

Governance Gaps

Which systems can the agent touch? Who approved that access? Is every query against patient records or trade data auditable? Most teams don't have answers.

Performance Bottlenecks

Sequential queries against production systems can't keep pace with AI demands. Sanitized data subsets mean AI that impresses in demos and underdelivers in production.

Structural Fragmentation

Enterprise data was never designed for AI consumption — siloed systems, inconsistent schemas, governance policies written for human analysts. The gap is quietly killing AI ROI.

A Governed Access Layer Built for Enterprise AI

Different roles. Different tools. Different timelines. ADM collapses those boundaries - one platform for the AI data team.

Distributed Query Execution

Parallelizes LLM queries across Spark, Databricks, Dask, or Presto — returning petabyte-scale answers in seconds without overloading production systems.

Semantic Translation Layer

Maps natural language to your actual schemas, business glossaries, and metadata — so agents query what they mean.

Granular Governance Enforcement

Access policies, data masking, lineage tracking, and full audit trails on every AI interaction — the same controls your compliance teams already rely on.

Unified Access Fabric

Surfaces data from ERP systems, data lakes, cloud warehouses, and BI tools through a single interface — eliminating point-to-point integrations.

What Your Organization Can Do With MCP-DC

Performance at Scale

Get real-time answers across petabyte-scale data.

Parallel execution across your existing compute means agents get production-quality answers at the speed AI demands — no more waiting on slow, sequential queries.

Compliance & Risk

Eliminate compliance risk on every AI data interaction.

Access policies, masking rules, and lineage tracking apply automatically — whether the query comes from a human analyst or an autonomous agent. Every interaction is logged.

Data Unification

Unify your data for AI — without a migration.

Your data stays where it is. MCP-DC connects your lake, warehouse, ERP, and BI systems through one access interface. New AI use cases connect to new data sources in days, not quarters.

Engineering Velocity

Ship AI faster by eliminating bespoke data pipelines.

MCP-DC handles the access layer once. Your engineers focus on model quality and business logic instead of rebuilding governance and connectivity for every new use case.