Embeddable analytics and BI with AI-driven insights
Sisense is an analytics platform focused on infusing analytics into products and workflows. It combines a proprietary in-chip engine for fast queries across large datasets, a drag-and-drop dashboard builder, AI-driven predictive insights, and a strong embedded-analytics SDK that product teams use to ship customer-facing dashboards. It's positioned for enterprises that want white-labeled analytics alongside internal BI.
Proprietary engine that processes queries in memory for sub-second performance on large datasets.
Non-technical users can build interactive dashboards without writing code.
Machine learning detects trends, anomalies, and forecasts without manual modeling.
White-label SDK, APIs, and Compose SDK for React to embed dashboards inside SaaS products.
Connects to cloud warehouses, on-prem databases, SaaS apps, and flat files.
Granular permissions, row-level security, and encryption for enterprise compliance.
Code-first analytics experience for developers plus low-code for analysts in one platform.
SaaS vendors ship white-labeled dashboards and analytics inside their product.
Large teams centralize reporting across finance, ops, and product on one platform.
Healthcare, finance, and government teams deploy on-prem or hybrid for compliance.
Engineering teams use Compose SDK to build analytics experiences in React.
Auto-generated plain-language summaries of charts and dashboards.

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