Starburst, a leading enterprise intelligence platform, announced its AI Data Assistant (AIDA), a new capability that helps organizations move from static reporting to faster, more context-aware decision-making. With AIDA, users can explore and analyze trusted enterprise data using natural language, making it easier to turn questions into actionable insight.
Applying AI to Business Decisions
Teams wait months for the creation of dashboards, export the results into spreadsheets for further analysis, and still question whether the numbers can be trusted. That gap makes it difficult to act on data when it matters most.
Users, applications, and AI systems need governed access to data across the business to act with speed and context. Yet for years, centralization has been treated as transformation, even in enterprises where data is spread across clouds, platforms, and operational systems.
With AIDA, organizations can move beyond static reporting and give users governed, on-demand access to trusted enterprise data, enabling faster, more context-aware decisions.
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What’s New in AIDA
- Advanced Reasoning Capabilities: AIDA leverages a ReAct (reason–act–observe) framework to move beyond query generation into true analytical reasoning, combining live data sampling and metadata analysis to reach a well-grounded answer. The result is an assistant that reasons through problems like an analyst, not just a text-to-query translator.
- Persona-Based Outputs: AIDA tailors responses based on user role, delivering detailed technical explanations for data practitioners and concise, decision-ready summaries for business leaders.
- White Labeling: Organizations can apply their own branding to AIDA to create a seamless internal analytics experience without additional development. Available today in Starburst Enterprise Platform (SEP).
- Flexible LLM Support: Within SEP, AIDA supports multiple LLMs, including models from Anthropic, OpenAI, and AWS Bedrock, enabling enterprises to choose the model that best fits their technical, security, and cost requirements without vendor lock-in.
Coming in Q2, Starburst plans to release the following:
- AIDA Studio: An extensibility layer that enables integration with external systems, incorporation of unstructured business context, and creation of custom skills to orchestrate workflows across tools like Slack, Jira, and Google Workspace.
- AIDA MCP Client: The AIDA MCP Client Layer gives AIDA the ability to interact with and pull context from enterprise applications such as Slack, Jira, GitHub, using the open Model Context Protocol (MCP). Users can add context to inform AIDA’s outputs, and even use AIDA more broadly as an automation hub for important enterprise tasks.
- Guardrails: A configurable governance layer that controls AI interactions and outputs, enforcing policies beyond underlying data access. Organizations can restrict sensitive topics and prevent exposure of personal data, ensuring safe and compliant AI usage.
“Most companies are still approaching AI the wrong way, focusing on models instead of the data those models depend on,” said Justin Borgman, Co-founder and CEO of Starburst. “The real challenge is applying AI to business decisions without moving data or compromising governance. Starburst’s AI Data Assistant is built to solve that by providing access to trusted, distributed data from across the enterprise.”
SOURCE: Businesswire