We built an all-in-one e-commerce analytics platform trusted by thousands of online brands — ingesting 50+ live data integrations into dedicated data warehouses, with AI agents providing media-buying and inventory recommendations in natural language.
Every brand gets its own dedicated warehouse — data is never shared, commingled or processed in a shared environment.
E-commerce brands were tracking CAC, LTV and ROAS across spreadsheets assembled from multiple export files — a process that took hours, produced stale numbers, and required engineering skills most marketing teams didn't have.
The tools that promised to fix it either oversimplified to the point of uselessness or required a full data engineering team to maintain. Brands were flying blind on their marketing spend because the alternative was too expensive to build.
Every data source an online brand uses — ad platforms, storefronts, email tools, payment providers — ingested and cleaned automatically, with no manual export steps.
Each brand's data lives in its own dedicated warehouse — never shared, never commingled with another brand's data, regardless of platform size.
AI agents sit on top of a semantic layer that understands commerce-specific concepts — CAC, LTV, ROAS, cohort retention — so recommendations are commercially meaningful, not just statistically correct.
Brands ask questions about their data in plain English and receive answers — no SQL, no dashboards to configure, no analyst required to interpret the output.
Brands on Platform
Online brands of all sizes running marketing analytics without a data engineering team.
Live Data Integrations
Every commerce data source ingested and cleaned automatically — no manual exports, no stale data.
Per Brand
Dedicated warehouse for every brand — data never shared or commingled.