Self-serve BI, embedded analytics, ETL, managed warehouse, and a semantic layer. Everything you need for AI analytics, in one purpose-built platform.
Basedash is an AI-native business intelligence platform that turns plain-English questions into governed answers, dashboards, and automated reports on live company data, for data leaders and the business teams they support. It offers a single platform approach to analytics and reporting, integrating data sources and governance to support AI-powered insights. The product targets organizations seeking self-serve capabilities while maintaining control over definitions and permissions.
The platform provides AI-assisted data analysis through an AI data analyst, dashboards, a semantic layer (Models), a managed warehouse, and automation features. It emphasizes governance, auditability, and traceability, with SQL shown for every result and the ability to verify numbers against governed definitions.
Dashboards are built from prompts or descriptions, with charts, filters, and layouts generated and kept current. Users can edit results, share dashboards, and automate distribution. The semantic layer defines metrics and dimensions once, while integration with live data sources lets teams operate on up-to-date information. The product supports embedding and connectors to numerous data sources, including SaaS apps, to form a complete analytics stack.
The brand pages describe deployment options (managed cloud, private VPC, self-hosted), data sources, and security features. It highlights SOC 2 Type II compliance, SSO/SCIM, row-level security, audit logs, and the ability to align with customer data governance. It also notes embedding capabilities, MCP server access, and the breadth of data sources and ecosystems supported across deployments.
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