FactVault is reliability infrastructure for AI and decision-critical systems. It makes data trust measurable and enforceable — per field, per source — so enterprises can govern AI confidently and defend automated decisions.
The trust gap is usually data, not the model.
A quick way to see what you’ve already read — and what to open next.
What is FactVault?
Product overview: reliability engine, trust ceilings, versioned trust timeline, executive report.
What is Data Trust?
Definition: trust as defensibility at decision time (not accuracy, not confidence).
The AI Trust Gap
Why AI reliability is downstream of data reliability — and how to close the gap.
Architecture
Where FactVault sits: reliability control plane between data platforms and decision systems.
Microsoft AI Trust
How FactVault complements Fabric & Purview to gate Copilot and automation by reliability.
AI Scare Trade: Defensibility
Why markets reprice trust — and why reliability infrastructure becomes the moat.
Demo Reliability Report (PDF)
Executive view: reliability, fill rate, approvals, source dominance + drill-down.
Authority Document (PDF)
Vendor-independent framework on data trust, decision boundaries, and governance.
Most AI systems assume data is correct. In reality, data is incomplete, inconsistent across sources, and trusted without evidence — leading to wrong conclusions, compliance risk, and loss of confidence.
FactVault is not a system of truth, but a system of defensible truth.
FactVault addresses the root cause — not the symptoms.
FactVault measures reliability and provenance at the same granularity decisions are made: field by field.
Measure where each field came from, how reliable it is, and how often it is missing.
Keep a full audit trail: source system, source field, reliability, and approvals.
Reports show where trust breaks, which sources dominate outcomes, and where to invest first.
At a glance: completeness, average reliability, approvals, and source dominance — with drill-down to record → field → source.
If data drives decisions, FactVault belongs underneath it.
A vendor-independent framework for understanding, assessing, and governing data reliability in decision-critical environments — including AI-driven systems.
FactVault runs as a distributed service. Each instance represents a fully isolated environment.
Production-grade instance hosted in Azure West Europe. Used for live demos and real-world workloads.
Open instanceWant a short walkthrough tailored to your pipeline and sources?