Product
An enterprise control plane for data economics, operated by governed AI agents.
DataX gives Data Platform teams a runtime operating layer for analytics compute while FinOps, CIO, and CTO stakeholders get financial truth, accountability, and evidence that optimization actually happened.
Agent operating model
Agents are presented as enterprise operators: permission-scoped, policy-bound, auditable, and reversible.
Data Platform Agent
Governs warehouses, capacities, clusters, SQL endpoints, and workload placement decisions across the analytics estate.
FinOps Agent
Connects actual, amortized, commitment, allocation, chargeback, and verified savings views into one economics model.
Query Agent
Finds query patterns, full scans, repeated executions, cache misses, and expensive fingerprints before they become normal.
Reliability Agent
Turns anomalies, sync gaps, failed checks, and unsafe actions into governed decisions instead of silent dashboard failures.
From telemetry to verified action
DataX does not stop at charts. Every signal is routed through a decision lifecycle so teams can tell which work is observed, recommended, approved, executed, verified, and auditable.
Runtime economics
Actual and amortized costs connected to workload telemetry, capacity behavior, and commitment waste.
Governed execution
Provider actions move through preflight, approval, execution, verification, audit, and rollback readiness.
CloudVerse platform context
DataX runs on the same CloudVerse compute economics platform as AIx, DevX, and CloudBillOps.
Built for mixed analytics estates
Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, and Microsoft Fabric share one economics and automation model.