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VaultSpeed automates the hardest layer of the data stack: turning raw, fragmented data from dozens of source systems into a governed foundation, and from that foundation into trusted, AI-ready data products. The platform operates exclusively on metadata. No customer data is extracted, moved, or exposed. Which makes it a natural fit for both cloud-native environments and for sovereign, on-premises deployments with strict data residency requirements. From metadata, VaultSpeed generates native, deterministic transformation code for all major platforms. Rule-based. No LLM in the code path. No hallucinations by design. No proprietary runtime. You own everything it produces. The platform works alongside your existing modeling, cataloguing, and governance tools. It generates what they consume. → Our agentic framework works on any data vault. Yours included. Built with VaultSpeed, dbt packages, or by hand, the framework adds what was always missing: a governed business model, full lineage, a semantic layer, and data products with contracts. AI agents handle source analysis, modeling, semantic layer design, and data product specification. Your team reviews and approves instead of building from scratch. At the centre sits an enterprise context store that captures every business definition, mapping decision, and conflict resolution across your data estate. It gives agents the structured context to reason correctly rather than from column names. Fewer tokens. Fewer hallucinated joins. Provably cheaper to run. The store compounds. Every source onboarded, every definition approved, every domain modelled makes the next one faster. What previously required a fifty-person centre of excellence and a decade of institutional learning is now accessible to a ten-person data team.

VaultSpeed Questions

The VaultSpeed annual revenue was $5.9 million in 2026.

Patrick van Deven is the CEO of VaultSpeed.

44 people are employed at VaultSpeed.

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