Make operational data trustworthy.
Stable models, visible mappings, transformation history, and explicit ownership make it possible to understand what the data means and whether it is ready to use.
Projects · DataBrakes
DataBrakes is a database-first platform for transformations, mapping, integrations, product information, automation, and agentic workflows. It gives teams a governed operating layer across the systems they already use.
Stable models, visible mappings, transformation history, and explicit ownership make it possible to understand what the data means and whether it is ready to use.
Mapping, integrations, PIM, automation, and workflow logic live in one collaborative layer instead of being scattered across spreadsheets and undocumented handoffs.
AI becomes more useful when tasks are bounded, business logic is explicit, and outcomes can be reviewed inside a human-readable operating system.
Why it exists
Across ecommerce, fulfillment, purchasing, reporting, and systems work, the same failure pattern kept appearing: important processes lived between applications. Teams filled the gaps with spreadsheets, technical work inherited brittle requirements, and automation depended on context that had never been formalized.
DataBrakes turns that repeated operating pattern into product infrastructure. It is designed to handle the data volume and workflow complexity that break lightweight tools while preserving the flexible, collaborative way teams actually work.
The goal is not to rip out a company's existing stack. It is to make that stack more coherent: a working layer that shows where information came from, what changed, how it maps to the business, and what should happen next.
WizardHub is the consulting practice shaped by the work. DataBrakes is the platform emerging from it.
See the progression on the project timeline.
First step
Map the workflows. Locate the bottlenecks. Design the blueprint for intelligent execution.
info@thewizardhub.com