DeltaVault is a metadata-driven data automation platform that helps organisations build lakehouse and data warehouse solutions better and faster. A generic AI assistant has never seen your naming conventions, your modelling standards, or the way your source systems actually behave when a batch arrives late. It guesses. DeltaVault closes that gap by bringing together metadata, business context, technical context, and reusable content, giving AI the grounding it needs to do real work throughout the data engineering lifecycle rather than watching from the sidelines. Everything lives on one governed platform: requirements, data models, mappings, standards, governance rules, patterns, and the implementation knowledge your team has built over the years. That shared context then drives design, generation, deployment, and the ongoing evolution of your solutions, so the same modelling decisions no longer get re-litigated on every new project. Because the AI assistance is grounded in your own metadata and standards, you can automate far more of the engineering work without sacrificing consistency, governance, traceability, or human control over what actually ships. Whether you are building a Lakehouse, Data Warehouse, Data Vault, or modern analytics platform, DeltaVault turns business requirements and metadata into production-ready data solutions on Databricks, Microsoft Fabric, and Snowflake. More context means better automation, smarter AI assistance, and faster data delivery.
| Website | https://www.deltavault.ai/ |
| Employees | 1 (1 on RocketReach) |
| Founded | 2025 |
| Industry | Information Services |
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Peter Avenant is the Founder and CEO, Making Data Behave of deltavault.
1 people are employed at deltavault.