The Dashboard your Board thinks you already have
We score every model in your estate on fairness, transparency, accountability, privacy, and robustness — and trace every score back to the data field that caused it. Advisory that sets the standard. A platform that holds it.
Truth Gap
The reporting layer and AI reality diverge. We observed a $48B asset manager's credit model degrade for 14 months without detection, highlighting the critical need for a truth plane that bridges the gap between governance frameworks and operational reality.
At a 14-hospital system, we found zero auditable AI decision records. Spreadsheets and quarterly committees are no longer sufficient for the scale and complexity of modern AI estates. The truth gap is not a technical anomaly; it is a governance failure.
Our analysis reveals that 88% of clinical adoption claims are unsupported by verifiable evidence. Without a platform that isolates the data field causing bias and traces its lineage across pipeline stages, we risk regulatory non-compliance and reputational collapse.
FAIRNESS
Identifying and mitigating disparate impact and bias per model, per data field, ensuring equitable outcomes across all user groups.
ROBUSTNESS
Assessing drift and degradation against ground truth to maintain the integrity and reliability of your AI systems over time.
FIVE PILLARS OF GOVERNANCE
The Foundation of Trustworthy AI systems
TRANSPERANCY
Measuring explainability coverage to ensure that AI decisions are understandable and justifiable to stakeholders and regulators.
PRIVACY
Monitoring PII exposure, data-use boundaries, and consent lineage to protect sensitive information and ensure compliance.
ACCOUNTABILITY
Defining named owners, escalation paths, and maintaining a complete decision record for every model in your estate.
PRIVACY Monitoring PII exposure, data-use boundaries, and consent lineage to protect sensitive information and ensure compliance.
Lineage & Validation
We isolate the data fields that cause model failure and trace their lineage across pipeline stages. This technical precision collapses weeks of manual review into minutes, producing the artifact required for SOX, HIPAA, and EU AI Act reporting.
End to End Data Lineage , Validation and real-time flagging of sensitive data
Platform Integrations
Seamless connectivity with your existing infrastructure. Veridex AI Truth Engine is engineered to integrate with your current stack, ensuring no rip-and-replace disruption to your enterprise operations.
Snowflake
Direct integration with Snowflake for comprehensive data lineage and governance across cloud and on-prem environments.
Databricks
Connectivity with Databricks for unified GenAI registry and inventory coverage score tracking across your entire estate.
Cloud Providers
Native support for AWS, Microsoft Azure, and any API, ensuring your AI estate remains fully compliant and traceable.
Architecture & KPIs
The PradimeAI Control Plane is the validation engine inside our platform. We score every model in your estate on fairness, transparency, accountability, privacy, and robustness — and trace every score back to the data field that caused it.
Unified GenAI Registry
Centralized inventory of all generative AI models and data sources within your estate.
≥95% Coverage
Policy & Escalation Engine
Automated governance policy enforcement and rapid escalation paths for risk owners.
<60 min
Veridex AI Truth Engine
Validation of model outputs against ground truth, isolating data fields that cause bias.
≥92%
Hallucination Tax℠ Reporting
Quantitative measurement of hallucination risk and quarterly reporting on AI debt.
Quarterly Tax
Reproducibility Engine
Full audit pack generation on demand, including SOX, HIPAA, and EU AI Act artifacts.