Sisense is an AI-powered analytics platform that helps teams model, visualize, and embed data experiences directly into applications and business workflows. The platform combines code-free and code-first tools to make analytics accessible to users of all technical skill levels, from business analysts to developers. Sisense Intelligence, the platform's AI suite, includes features like assistant for natural language querying, narrative for automated data summaries, and forecast and trend for predictive insights. These capabilities enable users to ask questions in plain language, surface anomalies, and anticipate future patterns without requiring deep technical expertise.
The platform's Compose SDK provides developers with reusable components and assistant integration, allowing them to embed conversational analytics while maintaining architectural flexibility and design control. Sisense supports deployment in cloud environments and offers extensive data connectivity, enabling seamless integration with existing technology stacks and data sources. Organizations can embed analytics that adapt to user needs, deliver real-time insights, and guide decision-making directly within their products.
Sisense serves a broad range of industries including financial services, healthcare and pharmaceuticals, supply chain, technology, and manufacturing. Customers use the platform to build embedded analytics experiences, automate dashboard creation, and enable end users to interact with data in intuitive, governed environments. The platform emphasizes trust and security, with features designed to protect sensitive data while enabling rapid deployment and scalability.
- Build embedded analytics into SaaS products using Compose SDK with AI-powered assistant integration
- Enable business users to query data and generate visualizations through natural language with Sisense Intelligence
- Automate dashboard creation and data narrative generation for faster reporting and insight delivery
- Embed real-time analytics into business applications to guide user actions and decisions
- Use predictive features like forecast and trend to identify patterns and anticipate future outcomes
- Connect to multiple data sources and model data across cloud and on-premise environments
- Deploy conversational analytics experiences that adapt to user workflows and application architecture
- Surface data anomalies and trends automatically to help users stay ahead of business changes
- Create reusable analytics components for faster development and consistent user experiences
- Deliver governed, secure analytics to end users without requiring technical or SQL knowledge

