Stop AI hallucinations. Start building explainable AI.

Your AI is guessing. Here's why.

You're investing heavily in Enterprise AI, but you're building it on a foundation of sand.

You can't just point an AI at raw source systems or a data lake and expect trustworthy results. These environments are a tangled web of un-integrated, constantly changing, and contradictory information.

This forces your AI to guess. The result?

• Flawed Insights: "Answers" that are confidently wrong.

• AI "Hallucinations": Models that invent facts to bridge data gaps.

• Zero Accountability: "Black-box" logic that can't be audited or explained.

• Killed Trust: High-risk, unreliable outcomes that stop initiatives in their tracks.

Enterprise AI doesn't just need big data. It needs a reliable data foundation.

The solution: an intelligent, automated Data Vault

To trust your AI, you must be able to trust its data. The solution is a two-part approach: a proven model for context and intelligent automation for agility.

1. The foundation: Data Vault 2.0 (The "Why")

Data Vault 2.0 isn't just a complex modeling technique; it's the blueprint for explainable AI. Its unique structure (Hubs, Links, and Satellites) is specifically designed to solve the problems of integration, history, and auditability. It creates a natural metadata map of your entire business, providing the rich, historical, and connected context that AI needs to move from guessing to knowing.

2. The engine: VaultSpeed (The "How")

A perfect model is useless if it's too slow to maintain. A manual Data Vault is rigid and expensive. VaultSpeed’s automation platform is the agility layer that makes the Data Vault intelligent.

Our engine automates the entire lifecycle. When your sources change (schema drift), VaultSpeed automatically detects it, applies over 600 built-in rules, and generates the delta-only code and migration scripts. This agility is critical for AI, which needs a constantly reliable and current model.

From black-box guesses to explainable insight

VaultSpeed's automated approach turns your Data Vault into an AI-ready foundation, unlocking three critical advantages.

Achieve true explainable AI (XAI)

Finally, your AI can answer "why." When your model provides an insight (e.g., "Customer churn is increasing"), you can ask how it knows. Because of the Data Vault structure and VaultSpeed's rich metadata, the AI can show its work: "I correlated these two concepts (Links), which came from these three source systems (Satellites), and they were all linked by this one business key (Hub)." This builds trust, ensures compliance, and allows you to validate the AI's logic.

Build an agile and resilient data model

AI models decay when their data foundation becomes stale. VaultSpeed's automation is your defense against schema drift. By intelligently detecting and adapting to source system changes, we ensure your Data Vault—and therefore your AI's "brain"—is always current, resilient, and reliable. Your AI feeds on a stable, consistent, and trusted data product.

Run on your stack, with no lock-in

VaultSpeed is a design-time automation platform, not another runtime processing engine. We generate 100% native, optimized code (SQL, dbt, etc.) that runs directly on your existing data platform like Snowflake, Databricks, or Microsoft Fabric. You are never locked in. You get the full power of automation without adding runtime overhead, dependencies, or complexity to your architecture.

Frequently asked questions (FAQ)

Why can't I just point my Enterprise AI at my data lake or source systems?

You can, but the results will be unreliable and high-risk. Source systems are messy, un-integrated, and constantly changing. A data lake often lacks the historical context, governance, and reconciliation of business concepts. Your AI will get a fragmented, contradictory view of your business, leading to flawed insights and "hallucinations." Enterprise AI needs a single, reconciled, and auditable source of truth to be effective.

Isn't Data Vault 2.0 just a complex modeling technique? How does it help AI?

Data Vault 2.0 is specifically designed to solve the problems of integration, auditability, and change. Its structure (Hubs, Links, and Satellites) is a natural metadata map of your business. It inherently tracks history, separates business keys (the "who" or "what") from descriptive data, and records all relationships. This is exactly the rich, historical, and connected context that Enterprise AI needs to provide explainable answers, not just black-box guesses.

We already have a Data Vault. What value does automation add for our AI initiatives?

A manual Data Vault is slow, rigid, and expensive to maintain. VaultSpeed's automation is what makes it agile and intelligent. When your sources change (schema drift), our engine automatically detects it, applies over 600 rules, and generates the delta-only code and migration scripts. This agility is critical for AI, which needs a reliable, current model. More importantly, the automation generates the rich metadata (lineage, key definitions, CDC rules) that your AI consumes for context.

What do you mean by "Explainable AI" in this context?

It means your AI can answer "why." When your AI provides an insight (e.g., "Customer churn is increasing in this segment"), you can ask it how it knows. Because of the Data Vault structure and VaultSpeed's metadata, the AI can show its work: "I correlated these two concepts (Links), which came from these three source systems (Satellites), and they were all linked by this one business key (Hub)." This builds trust, ensures compliance, and allows you to validate the AI's logic.

How does VaultSpeed work with my existing cloud platform like Snowflake, Databricks, or Fabric?

VaultSpeed is a design-time automation platform, not another runtime processing engine. It generates 100% native, optimized code (SQL, dbt, etc.) that runs directly on your existing data platform. You are never locked in. Our lightweight agent securely harvests metadata, and our platform generates the code that you own and deploy in your environment. This gives you the full power of automation without adding runtime overhead or dependencies.