Sisense is an analytics platform that lets teams embed AI-driven dashboards and natural language analytics into their own products and workflows.
Sisense combines a full business intelligence stack with strong embedded analytics capabilities. Its AI features — including natural language queries, automated insight discovery and forecasting — can be surfaced inside your own application through SDKs and embeddable widgets, so end users get analytics without leaving the product they use.
Underneath, Sisense’s Elastic Data engine handles large datasets across in-chip and columnar storage, and its composable architecture lets developers build analytics experiences as code. This combination of self-service dashboards and developer-grade embedding makes Sisense a common choice for SaaS companies monetizing analytics.
Sisense’s composable SDK lets developers build analytics experiences as code — custom visualizations, embedded dashboards and query APIs — while business users keep drag-and-drop self-service. Its AI layer includes natural language querying, automated insight discovery and forecasting, all embeddable inside customer products. The platform’s Elastic Data engine handles large and complex datasets efficiently, and white-label capabilities let SaaS vendors deliver analytics under their own brand with fine control over user experience.
Sisense is priced through custom quotes based on data volume, users and embedding needs; trials are available for evaluation.
SaaS vendors and enterprises that need both internal BI and embedded, AI-powered analytics delivered inside their own applications.
Sisense is a commercial platform quoted by sales, with trial options for evaluation.
Yes — Sisense is API-first, with REST APIs, SDKs and embeddable JavaScript components.
Its embedded analytics depth and composable architecture differentiate it from BI tools focused purely on internal dashboards.
Yes — embedding is a core strength: Sisense provides SDKs, iframes and JavaScript components for delivering analytics inside your product with full white-label control.
SaaS vendors embed Sisense analytics inside their products to offer customers dashboards and insights under their own brand. Enterprises use it for internal BI with self-service dashboards and AI-assisted analysis. Its composable architecture suits teams that want analytics delivered as code, integrated deeply into existing applications.
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