vaultspeed.comCrawled Nov 8, 2026
Model with an agent, keep the data model machine readable with its lineage and logic, convert Erwin or PowerDesigner models, and hand the graph to engineers.
The page lists checks for security or governance reviewers, including single-tenant control plane, cloud environment, metadata-only access, agent sandboxing, inference controls, ISO 27001, and SOC 2 compliance.
How VaultSpeed works: agents propose the data model, the context store keeps it as a versioned graph, the generator writes native code the same way every run.
VaultSpeed generates native code for Snowflake, Databricks, dbt, Microsoft Fabric, BigQuery, and Amazon Redshift from a single data model, deployed in the customer’s cloud.
Argenta automates daily covered bond reporting for its €7.5B program with a Data Vault on Oracle and Databricks: 15 source systems, a 5 to 8 engineer team.
One of Australia’s largest wealth managers unified five platforms and 900,000+ customer records on BigQuery with four engineers, built for compliance and AI.
Colruyt Group moved more than 50 sources to Snowflake in under six months by moving VaultSpeed metadata, not code. Data ready at 9 a.m., every morning.
What data teams built with VaultSpeed: Colruyt, Thomson Reuters, Grundfos, Argenta, Nationale-Nederlanden and more, with the platform, the timeline and the results.
VaultSpeed is an agentic data modeling platform, built by a team with a data warehouse automation background, with offices in Leuven, London and Boston.
VaultSpeed offers working sessions to build and demonstrate a data model using a customer’s metadata.
VaultSpeed is a data modeling platform that uses agents to propose models and generate reviewable code for data platforms.
How VaultSpeed collects, uses and discloses personal data from visitors to its website and users of its platform.
The terms of use for the VaultSpeed website and its connected webpages, microsites and portals.
