Sisense Advances AI-first Analytics with Agentic and Actionable Capabilities for Faster, Smarter Decisions

Sisense Intelligence assistant, MCP server support, and competitive LLM options give developers and business users AI flexibility for building and scaling

NEW YORK--(BUSINESS WIRE)--Sisense, the leading provider of AI-driven analytics that transforms enterprise data into a competitive edge, today ushered in a new generation of analytics that not only interprets data but acts on it. Powered by the new Sisense Managed LLM—a foundational layer that simplifies AI deployment – platform innovations like the Model Context Protocol (MCP) server and Sisense Intelligence assistant allow product leaders, developers and data teams to build, scale, and explore data faster while seamlessly integrating Sisense into the applications and workflows they already use.

Over the last several years, Sisense has been working toward an AI-first analytics approach that gives customers comprehensive access to their data and maximizes the value of their tools. Earlier this year, Sisense introduced Sisense Intelligence, a unified suite of agentic AI capabilities designed to use natural language to accelerate analytics creation, insight generation, and decision-making. With today’s release, Sisense streamlines the workstream to allow users and creators to ask a question and build, scale, and differentiate faster, from within the applications they already have available to them.

“We’ve reached a point in AI adoption where organizations expect high-quality tools, efficient results, and the flexibility to choose how they power their analytics,” said Ariel Katz, CEO of Sisense. “These advancements allow our customers to expand the capabilities of their current tools and embrace agentic analytics. Our customers can now explore data models, create dashboards, and deploy assistants with greater semantic intelligence, faster performance, and more control, whether via embedded products or MCP.”

MCP: Secure AI Integration with Governance and Context

Sisense’s MCP server offering allows organizations to connect external AI tools securely and is designed to help ensure results from queries come from available governed semantic models:

• Let users ask questions directly within the AI agents they already use, such as ChatGPT or Claude
• Maintain governance, lineage, and context across environments and interfaces, and enforce granular data access rights, ensuring users can only access and view data they are authorized to see based on existing security permissions
• Extend analytics into new experiences like chat or copilots without rebuilding the underlying analytics stack

Sisense Intelligence assistant Now Available for All Users

Building on that foundation, Sisense Intelligence assistant is now broadly available, empowering every builder and creator to interact with data more intuitively and create analytics assets at unprecedented speed. With assistant, users can:

• Generate data models and sample data for rapid prototyping
• Build and iterate on charts in conversational workflows
• Assemble and refine full dashboards with redefined and improved user inference
• Explore, edit, and manage analytics while ensuring alignment with governed organizational models
• Empower end-users to perform self-service data exploration directly within embedded applications through intuitive, AI-guided experiences

“At Bioforum, we are focused on making clinical trial data easier to explore and understand,” said Francois Van Vuuren, Director, Clinical Data Systems & DM Programming at Bioforum, a biometric research organization. “By integrating the Sisense Intelligence assistant into our BioGRID analytics platform, we use Sisense's AI capabilities to reduce complexity, enable faster insights, and improve how teams interact with their data, while maintaining high standards and meeting regulatory compliance."

Expanded LLM Capabilities for Users and Developers

Sisense offers a Managed LLM, an end-to-end solution that gives organizations instant access to LLM-powered analytics without the complexity typically required to deploy and manage AI infrastructure. This fully managed solution removes operational barriers, accelerates time-to-value, and allows teams to safely experiment with AI across the business. Paired with the BYO LLM offering, this approach reinforces the company’s focus on providing users and customers of all sizes with flexible AI solutions that fit their needs.

New Feature Availability

Sisense’s actionable intelligence offerings, including assistant, MCP, and BYO LLM, are now available. The Sisense Managed LLM service is now available to select customers in private preview and is scheduled to be available to all customers in Spring 2026, utilizing Sisense Intelligence capabilities.

To learn more about Sisense’s updated features and offerings, visit our page here, and the blog for more details on new features here.

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 and an ISO 27001 information security management certification. Founded in Israel in 2004, the company employs a globally distributed workforce with offices in New York City, London, and Tel Aviv. To learn more, visit www.sisense.com.