InterSystems has announced the general availability of InterSystems Data Studio AI Assistant, a new generative AI-powered extension for InterSystems Data Studio that helps organizations more easily understand, navigate, query, and visualize data through natural language interactions .
InterSystems Data Studio AI Assistant is now generally available as an optional generative AI extension for Data Studio .
The AI Assistant provides natural language interfaces for structured and unstructured data, including SQL query generation and semantic search .
Built on an extensible agentic framework, it includes out-of-the-box agents for data visualization and metadata discovery, plus a multi-agent framework for custom assistants .
Organizations can create domain-specific assistants with session-level memory and fine-grained permissions for secure, governed data access .
The solution follows a "bring-your-own-key" model, allowing use of supported LLM vendors .
Embedded within the Data Studio platform, it provides a common, integrated data layer for consistent access to trusted information across users and applications .
InterSystems, a creative data technology provider powering some of the world's most important applications, today announced the general availability of InterSystems Data Studio™ AI Assistant, a new generative AI-powered extension for InterSystems Data Studio that helps organizations more easily understand, navigate, query, and visualize data through natural language interactions .
As organizations move from AI experimentation to production deployments, many are discovering that the greatest challenge is not the AI model itself, but providing AI systems with access to trusted, current, and business-ready information. Enterprise data is often fragmented across applications, databases, cloud services, files, data warehouses, and departmental silos, making it difficult for users and AI systems to generate reliable insights .
"Organizations are increasingly looking for ways to turn their data into actionable intelligence without adding complexity," said Scott Gnau, Senior Vice President, Data Platforms at InterSystems. "InterSystems Data Studio AI Assistant brings generative AI directly to a trusted data foundation, enabling users to interact with information more naturally while maintaining the governance, security, and controls enterprises require" .
Unlike AI solutions that require organizations to assemble and maintain multiple tools, InterSystems Data Studio AI Assistant is embedded within the broader InterSystems Data Studio platform. This enables organizations to combine AI capabilities with a common, integrated data layer that supports consistent access to trusted information across users, applications, analytics platforms, and AI systems .
Built as an optional extension for InterSystems Data Studio and available as a fully managed service, the AI Assistant provides interactive assistants and agents that help users explore both structured and unstructured data, discover available information assets, generate visualizations, and accelerate data analysis . The solution includes out-of-the-box agents as well as a flexible multi-agent framework that enables organizations to create custom assistants tailored to specific business requirements .
The AI Assistant provides a natural language interface that helps users understand database schemas, generate queries, and perform detailed analysis on their data . Key capabilities include:
Customized Assistants: AI assistants tailored to specific use cases with built-in domain-specific information and session-level memory for maintaining context within a conversation .
Agentic Framework: Architecture enabling AI to autonomously plan, execute, and refine tasks through iterative reasoning steps rather than single-shot responses .
Secure Data Access: Fine-grained permissions ensure assistants only access approved datasets, supporting compliance and governance .
Integrated SQL Assistant: A specialized assistant capable of understanding natural language queries and translating them into SQL commands to interact with structured data .
Knowledge Stores: Centralized repositories where processed vectorized information is stored and organized for efficient retrieval by AI assistants, supporting both structured (SQL tables via Narratives) and unstructured (documents via Document Stores) data .
Data Visualization and Metadata Discovery: Out-of-the-box agents for creating visual representations of data and for discovering and managing metadata about available data assets .
The AI Assistant follows a "bring-your-own-key" model, requiring organizations to configure a supported large language model (LLM) vendor and provide a valid API key before assistants can be created and used .
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide .
