We re.think systems
to put data into con.text.
We weave data into knowledge.
The end of the
middle layer
Every day, businesses generate an enormous wealth of knowledge — a number in a spreadsheet, a deal closed in a CRM, a payment processed at midnight. And every day, that knowledge sits frustratingly out of reach, buried beneath pipelines, transformation scripts, and data teams stretched thin by demand.
We built a world where asking a question requires an engineering project — where the definition of “revenue” lives not in the mind of the CFO who understands it, but in a model written by someone who has never spoken to her.
What if the database itself knew what the data meant?
We propose a semantically aware data platform — where business meaning is encoded directly into the data layer, in plain language, annotated by the people closest to the work. No configuration files. No transformation pipelines. No translation layer between the person with the question and the data that answers it.
When meaning lives with the data, language models do the rest — query generation, joins, and unit conversions resolved at runtime from rich metadata. The warehouse stops being a destination data must be prepared for, and becomes a living knowledge base anyone in the organisation can query immediately.
The bottleneck was never storage or compute. It was always the interface between knowledge and infrastructure.
Meet the team
Maximilian Schuberth
Rihab Cheberli
