Starburst, a leading enterprise intelligence platform, is introducing its AI Data Assistant (AIDA), a new capability that helps organizations move from static reporting to faster, more context-aware decision-making.
According to the company, with AIDA, users can explore and analyze trusted enterprise data using natural language, making it easier to turn questions into actionable insight.
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.
Features in AIDA include:
- 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 such as 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."
By applying governance, definitions, and access controls consistently across data sources, Starburst provides the federated context layer required for enterprise AI connecting distributed data, business meaning, and policy into a single AI-ready foundation. AIDA is the interface. The Starburst platform is what enables it to operate across the enterprise, the company said.
For more information about this news, visit www.starburst.io.