
VaultSpeed has given us a strong foundation for enabling AI on top of our data platform. By using Data Vault automation, we can structure and normalize data consistently, which is essential when building knowledge graphs, vectorized indexes, and semantic layers for complex AI queries. The model-driven approach makes it much easier to generate pipelines, validate data, and standardize code. This allows us to focus our engineering efforts on building AI-driven processes instead of spending months hand-coding. Customer support has been outstanding in supporting our implementation as well. Review collected by and hosted on G2.com.
The challenges we face today aren’t really about VaultSpeed itself, but about the complexity of AI integration in general. VaultSpeed does its part extremely well: getting data reliably into the vault with governance and lineage intact. That consistency is what makes it possible to take the next steps with confidence. Review collected by and hosted on G2.com.
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