Sisense has announced a major advancement in its AI-driven analytics platform, introducing new agentic and actionable capabilities designed to accelerate decision-making. The release includes support for the Model Context Protocol (MCP) server, broad availability of the Sisense Intelligence assistant, and a new Managed LLM service. These innovations aim to give developers and business users greater flexibility to build, explore data, and integrate analytics directly into existing applications and AI agent workflows.
Sisense advances its platform with new agentic AI analytics capabilities.
Introduces an MCP (Model Context Protocol) server for secure integration with external AI tools like ChatGPT.
Sisense Intelligence assistant is now broadly available for intuitive, conversational analytics creation.
A new Sisense Managed LLM service simplifies AI deployment (private preview).
The updates allow users to ask questions and build dashboards within existing applications.
Focus is on providing flexibility, governance, and faster insight-to-action cycles.
Sisense is positioning this update as a move beyond interpreting data to enabling direct action. The new capabilities are built on a foundational "Sisense Managed LLM" layer designed to simplify AI deployment. CEO Ariel Katz stated the market expectation has evolved: “organizations expect high-quality tools, efficient results, and the flexibility to choose how they power their analytics.” The platform now allows users to explore data models, create dashboards, and deploy AI assistants with greater semantic intelligence and control, whether through embedded products or the new MCP integration.
A key technical innovation is Sisense's MCP server, which allows organizations to securely connect external AI agents (like ChatGPT or Claude) to their governed semantic models. This enables users to ask questions within the AI tools they already use while maintaining strict data governance, lineage, and context. The MCP server enforces granular data access rights, ensuring users only see data they are authorized to view, and allows analytics to be extended into chat or copilot experiences without rebuilding the underlying analytics stack.
The Sisense Intelligence assistant, now available to all users, is designed to democratize advanced analytics creation. It empowers builders to interact with data conversationally, enabling them to generate data models for prototyping, build and iterate on charts, assemble full dashboards, and perform self-service exploration. This reduces complexity and accelerates the creation of analytics assets while ensuring alignment with governed organizational data models.
Sisense is addressing the varied needs of its customer base with expanded LLM options. The new Sisense Managed LLM is an end-to-end, fully managed solution that removes operational complexity, offering instant access to LLM-powered analytics. This is complemented by the existing Bring Your Own LLM (BYO LLM) offering, providing customers of all sizes with the flexibility to choose the AI infrastructure that fits their specific requirements and governance policies.
By introducing these agentic capabilities, Sisense is aiming to close the loop between insight and action. The platform empowers both technical and non-technical users to not only ask questions of their data but also to seamlessly build and deploy analytical applications, all within a governed and flexible AI framework that integrates with the modern toolchain.
About Sisense
Sisense is a leading Analytics Platform as a Service (AnPaaS) that empowers users to build business analytics and accelerate product innovation by equipping product and development teams with a complete suite of no-, low-, and pro-code tools. Sisense integrates AI-powered insights and analytics into data products in a modular, flexible, and scalable way. Comprised of Fusion Embed, Sisense Cloud, and Compose SDK, the flexible Sisense analytics platform has 24 patents to date and enables customers like Skullcandy, USA Swimming, and Air Canada to infuse actionable insights into their customer experiences. Deeply committed to data privacy and protection, Sisense maintains an ISO 27701 privacy certification a
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