VaultSpeed Information

VaultSpeed is the agentic data modeling platform. It connects source systems, the business model and governance in one metadata graph, so the integration layer is generated from the data model instead of built beside it. Agents help build the data model. They analyze sources, propose entities and mappings, and design the semantic layer, while teams and agents review each other's work. The result is stored in an enterprise context store, a versioned metadata graph that any agent can query over MCP. Existing models from Erwin or PowerDesigner can be converted into the context store as the starting point. From the data model, VaultSpeed generates native code for Databricks, Snowflake and many other platforms, with support for Iceberg. Code generation is deterministic wherever the pattern allows it, using rule based generators and decision models, so the same input gives the same code on every run. Where a pattern needs more flexibility, skills run by an LLM take over and the results are reviewed in Git. The generated code goes into your own Git and CI/CD process and runs on your platform without VaultSpeed in the loop. The data model is where the context lives. Build it well and every use case, data product and hard question, asked by a person or by an agent, gets a better answer. Because the design and business logic live in metadata, data engineering that works from the shared graph is robust, maintainable and auditable. VaultSpeed holds metadata, not your data, and runs as pure SaaS or hybrid with a self-hosted component. You choose your LLM: bring your own provider, or consume LLM inference through VaultSpeed.