A managed cloud AI data lakehouse. This page documents the architecture, layers, and integration surfaces.
Fully managed, secure, and scalable from infrastructure to insights
Six key capabilities that transform your data management
Storing data from many different source systems and modelling it together, creating a "single pane of glass" for all the organisations data
Storing the business context alongside that data, such as definitions, key terms, synonyms, business process explanations, brand, positioning, etc.
Enabling the automation of data cleaning, management, modelling and transformation, so business teams don't waste hours in excel preparing data.
Offering a Model Context Protocol (MCP) server layer on top, which allows AI Agents to connect to all the information without needing months of integration projects
Backend optimisation of itself, with automated maintenance, monitoring and performance optimisation, meaning your data is always available, accessible, up-to-date, fast to access, and accurate.
Structuring dataset outputs in a digestible way for either AI Agents or Reporting software (such as Power BI) so knowledge can be consolidated then shared from one central, trusted source.
Let's talk about what data and AI can change in your business.