The embedded AI analytics platform
AI is going to answer your customers with your name on it. Let’s make sure it’s right.
Sisense Intelligence gives users AI capabilities to ask, understand, and act on data, grounded in the definitions and controls you set, wherever they work.
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Ground AI with a semantic harness.
Give AI governed definitions, business context, and access controls for your data.
Choose the AI stack that fits.
Bring your own LLM or use a Sisense-managed model.
Build AI into your product.
Connect AI tools and workflows to your data through SDKs, APIs and MCP.
“Sisense Intelligence, coming from a company with a strong history in analytics, enables our product to facilitate these data conversations, making the product more usable and valuable to customers than ever before.”
“By embedding Sisense Intelligence into our architecture, we have strengthened our scalable and flexible analytics capabilities while preserving Cropin’s domain depth and AI-driven intelligence. Sisense plays a key role in enhancing how these insights are delivered, enabling a seamless, intuitive analytics and reporting experience for our global customers.”
“Sisense’s AI capabilities allow us to quickly translate complex data into clear insights, identify trends and gaps, and make decisions faster during clinical trials — all while managing risk. It’s transforming how we ensure patient safety and streamlining our approach to data surveillance.”
“The exciting thing about Sisense Intelligence is the ease of use. It is already easy to create widgets and dashboards… and empower regular users. True self-service.”
“In addition to the basic use of Sisense, the AI analysis of data really allows users to focus on what the data is telling them… we have been able to integrate Sisense across a large number of our data sources… bringing even more value to our day to day work.”
The LLM is 10% of the answer. Sisense brings the other 90%.
And that 90% gives AI the foundation for reliable answers. The Sisense semantic harness connects AI to your logic, context, and governance. You set the definitions, so answers stay grounded in your business.
Build trust into every AI experience.
Ground every answer.
Define metrics, relationships, and business meaning in the semantic layer, then give AI richer context with semantic enrichment.
Govern every experience.
Apply permissions, tenant isolation, and data access controls server-side, so AI only works with the data each user can access.
Deliver with control.
Carry governed intelligence into products and AI workflows through embedded analytics, APIs, SDKs, and MCP without rebuilding the foundation.
Give every user a faster path to insight.
Let users ask complex questions in plain language with assistant, see how answers were derived, and turn conversations into charts and dashboards. With search, they can describe what they need and find relevant existing analytics without navigating dashboards or having to understand the underlying data structure.
Turn answers into understanding.
Help users make sense of results without becoming analysts. Narrative turns charts into plain-language summaries of what matters, while explanation surfaces the drivers behind changes, so they can move from seeing what happened to understanding why.
Define your business logic
Add business context
