Sisense Intelligence: AI features for modern analytics
Use Sisense Intelligence to innovate, extract insights easily, and make smarter business decisions.
“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. It could shorten that lead time further and empower regular users. True self-service.”
Build faster with a conversational assistant
Assistant is your AI-powered partner for building analytics from end to end. From data modeling to dashboard creation, it turns complex tasks into simple conversations. Whether you’re a developer or business user, you can generate visualizations, ask dashboard-specific questions, and get insights in real time, no SQL or data science needed.
Choose the LLM option that fits your architecture
LLM flexibility lets you pair Sisense with the language models you already trust. Connect your own LLM through supported providers to power the assistant, narrative, and other GenAI features, with Sisense handling orchestration and optimization behind the scenes. You can also choose a fully managed Sisense LLM service built on enterprise-grade cloud infrastructure, with built-in access controls and content safeguards for responsible AI use.
Transform charts into conversation starters
With narrative, bring your dashboards to life with dynamic, plain-language summaries of charts and widgets. Instead of making users guess what matters, narrative highlights key takeaways automatically, making it easier for anyone to understand the story behind the data and act fast.
Build once, embed everywhere
With GenAI-embedded components from Compose SDK, developers can bring the full force of Sisense Intelligence directly into their products using React, Angular, or Vue, and even accelerate builds with AI code editors like Cursor. Create rich, in-context analytics that feel native to your app; no more disconnected user experiences.
Connect external AI agents with MCP
Model Context Protocol (MCP) allows external AI tools like Claude or ChatGPT to access your governed Sisense models and trigger real analytical workflows. Agents can interpret user questions in natural language, query your semantic layer, and return structured insights like charts, dashboards, and narratives. This enables more intuitive, embedded analysis experiences across tools your users already work in.
