Three definitions of revenue in prod. Finance still reconciling in Excel. Backbone generates a production-ready data warehouse from your business ontology, so you stop rebuilding the same foundations from scratch on every project.
Define what decisions matter before a line of SQL gets written. Backbone's ontology layer encodes your metrics, entities, and sources, so the warehouse is built around what the business actually needs.
Backbone writes the warehouse from metadata. No hand-rolled transformation code for your team to inherit, debug, or explain to the next person.
The integration architecture that works across multiple ERP systems and acquired brands, built in from the start, not bolted on when things break.
The MCP server Backbone generates gives your language models definitions, lineage, and source-of-truth, automatically kept current as your data model evolves.
Data stays in your Snowflake. Code lives in your Git. No black box, no vendor lock-in. Structure you own and your engineers understand.
Governance, lineage, and data quality baked into the structure. Not a sprint-one promise that quietly falls apart when the team changes.
A semantic layer sitting on top of unresolved data is just a faster way to get the wrong answer. In a consumer goods business with multiple ERP systems, acquired brands, and a finance team that reconciles in Excel every month, unresolved data is not the exception. It is the baseline.
Every single build, even the well-resourced ones, starts from scratch. Not because the problems are new, but because no one has built reusable structure for the parts that do not change. The shape of an order-to-cash process is roughly the same across every consumer goods company. The entities in a product master are roughly the same. Backbone encodes what works, so your team stops reinventing it.
“Getting the numbers right is a non-negotiable; we need it to make the decisions that drive profitable growth. I can't put a number on it.”
— CEO, 600-person global consumer products group
That moment is coming. We think you should be ready for it. Enter your email and we'll be in touch about early access for data teams at scaling consumer goods companies.