
Sushidata combines an agentic platform and real-time data lake to unify growth and product signals into continuously updated competitive intelligence, customer research, and operational actions.
Sushidata is an agentic analytics platform and real-time data lake designed for growth, product, and operations teams that need to unify fragmented customer and market signals. It centralizes data from product usage, CRM, billing, marketing, support, and external sources into a single, queryable environment, enabling teams to move from raw events to decisions and actions in one place. The primary purpose of Sushidata is to turn scattered operational and behavioral data into structured intelligence for experimentation, prioritization, and strategy.
The platform ingests streaming and batch data, normalizes it, and exposes it through a flexible data model that supports SQL-like queries, dashboards, and AI agents. Users can define entities such as accounts, users, cohorts, and segments, then track behavior, funnels, and lifecycle changes in real time. Sushidataβs agentic layer allows teams to create autonomous or semi-autonomous workflows that monitor metrics, detect anomalies, enrich records, trigger playbooks, or propose actions directly in the tools teams already use. Built-in collaboration features make it easier for product and growth teams to share definitions, insights, and experiments without relying entirely on central data engineering resources.
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