Embedded analytics platform that puts governed AI insights inside customer-facing products using your approved data models.
Sisense is an embedded AI analytics platform that lets software companies ship AI-powered insights inside their own products under their own brand. Its governed semantic layer grounds AI assistants in approved metrics, shared formulas, and row-level security, with a homegrown MCP server, Compose SDK, and APIs so teams can connect their own LLMs. The company has focused on embedded analytics for 20+ years, with customers like PagerDuty, Philips, and Seismic.
| Pricing | Paid |
|---|---|
| Category | Business & Data |
| Platforms | web, ios, android, api |
| Company | Sisense |
| Official website | www.sisense.com |
With business and data tools, accuracy beats cleverness. Check which data sources and apps the tool connects to out of the box, how fresh the data is, and whether numbers can be traced back to their source — an AI summary you cannot verify is a liability in a meeting. Visualisation should match your audience: executives need clean dashboards, analysts need the ability to drill down. Security and permissions matter as soon as real company data is involved, so look for role-based access and a clear data-retention policy. Finally, test with your messiest real dataset, not the demo: tools that shine on clean sample data often stumble on the spreadsheets businesses actually keep.
Sisense is an embedded AI analytics platform that lets software companies ship AI-powered insights inside their own products under their own brand. Its governed semantic layer grounds AI assistants in approved metrics, shared formulas, and row-level security, with a homegrown MCP server, Compose SDK, and APIs so teams can connect their own LLMs. The company has focused on embedded analytics for 20+ years, with customers like PagerDuty, Philips, and Seismic.
Sisense offers AI assistant for natural-language questions over your data, Governed semantic layer with shared formulas and consistent metrics, Compose SDK, REST APIs, and MCP server for embedding and AI connections, Bring-your-own-LLM support via API token, Narrative summaries and explanation of change drivers, Pulse alerts, forecasting, and trend detection, Tenant-safe access with row-level security at the query layer and 100+ data connectors (per third-party review).
Sisense is a paid product. Prices and plans change over time, so check its official website for the current pricing before you buy.
Strengths of Sisense include Purpose-built for embedded analytics with flexible SDKs, APIs, and MCP server; AI answers grounded in governed semantic models and access rules; Bring-your-own-LLM support preserves existing GenAI investments. On the downside, Expensive and quote-based for enterprise tiers; self-serve starts at $399/mo; Launch tier is view-only embedded analytics — self-service BI needs the $1,299/mo Grow tier; Reviewers note it feels far from plug-and-play without a technical team.
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