Accelerate AI with Instantly Accessible, AI-Ready Data
Transform Cloud Data Into an Open, AI-Ready Foundation
Most Enterprise Data Is Inaccessible to AI
Enterprises are sitting on years of valuable operational, infrastructure, and application data, but most of it is not ready for AI or analytics. Making it usable often requires months of pipeline work.
Proprietary, non-queryable formats
Enterprise data is often stored for recovery, not structured for direct access by analytics engines or AI systems.
ETL pipelines that duplicate what you already store
Teams rebuild data lakes from data they already have, adding cost, complexity, and lag.
Cloud silos with no cross-environment visibility
Data spread across AWS, Azure, and GCP exists in separate systems with no shared query layer.
Restore workflows that delay access by hours
Getting to historical data means triggering a restore job, a process that can take hours or days.
How Eon accelerates AI adoption
Eon automatically classifies, catalogs, and structures protected cloud data so it is instantly usable for AI workflows without exposing production systems or creating duplicate datasets. Immutable storage, RBAC, and centralized governance keep AI access secure.
Eon AI Agent
Explore historical datasets, generate SQL, investigate incidents, and interact with your cloud infrastructure through natural language. No query expertise or tooling changes required.
Open format storage
Every backup is written in open formats like Apache Iceberg and Parquet, indexed for instant discovery, and directly accessible from AI applications and agents your team already uses.
AI native integrations
Native support for MCP, REST APIs, and Agent-to-Agent (A2A) protocols connects Eon to your existing AI agents, copilots, and orchestration frameworks.
Cross-Cloud Data Access
Access and analyze historical cloud data across AWS, Azure, and Google Cloud from a single platform, without moving data, duplicating infrastructure, or maintaining separate environments.
