Govern Data. Reduce Risk. Enable AI. At Scale.
infoCorvus provides unified control across the full lifecycle of structured enterprise data. ROAD governs ingestion, transformation, retirement, and AI access — with auditable, role-based enforcement at scale.
Select the path below that matches your current program: data discovery and classification, warehouse ingestion and migration, application retirement, or governed access for AI.
Control across the structured data lifecycle
ROAD — Data Lifecycle Platform
ROAD is a unified platform for the lifecycle of structured enterprise data: discovery and classification, warehouse ingestion, migration, and application retirement. Policy is enforced at the data layer, so retention, access, and disposition rules stay consistent across sources. Deployment requires no schema rewrites and no changes to the applications that own the data.
Governed AI Bridge
The Governed AI Bridge is a controlled access layer between enterprise data and large language models. AI agents are treated as users with roles, access is enforced at row level, and every action is logged and auditable — so AI programs inherit the same governance the rest of the estate operates under.
Data governance
Classify structured data, assign ownership, and enforce retention and access policy from one control plane instead of per-application configuration.
Risk reduction
Retire legacy applications while keeping records defensibly accessible, shrink the number of systems holding regulated data, and produce audit evidence on demand.
AI readiness
Give models and agents governed, row-level access to enterprise data with full logging, so AI use cases move forward without widening exposure.
Built for CIO, CDO, CISO, and enterprise architecture leaders in financial services, healthcare, and the public sector, with procurement-safe deployment models.