Basedash

Basedash positions itself as an analytics platform for the AI era, combining self-serve business intelligence, embedded analytics, ETL-style data ingestion, a managed warehouse, and a semantic layer in one product. Users can ask questions in plain English and receive charts, dashboards, or answers, with the SQL and sources shown behind each result. The page describes proactive insights that monitor metrics and send briefs to Slack or email, embedding options for React applications, an MCP server for connecting AI tools such as Claude, ChatGPT, and Cursor, and a REST API. Security and governance features listed include SSO and SCIMs, audit logs, row-level security, approval for AI-run writes, and self-hosting. The page states SOC 2 Type II compliance and that customer data never trains models. It also says the company can help migrate data and dashboards from other tools.

Key features

• Self-serve analytics: ask questions in plain English and get charts, dashboards, or answers built on governed definitions
• SQL and sources shown for each answer
• Proactive insights: anomaly detection and recurring reports sent to Slack or email
• Embedded analytics: embed dashboards and AI chat in products with React, with white-labeling
• Row-level security and JWT SSO for embedded customer scoping
• MCP server for connecting Claude, ChatGPT, or Cursor
• REST API for calling Basedash from custom apps
• Managed DuckDB warehouse, with option to connect Snowflake, BigQuery, or Databricks
• Data ingestion from 750+ sources such as Salesforce, HubSpot, Stripe, and Shopify
• Semantic layer and context engine with reusable models, dbt project import, and skills
• Audit logs, SSO and SCIM (SAML 2.0 and OIDC), and approval for AI-run write queries
• Self-hosting option in your VPC, including air-gapped deployments

Best suited for

• Teams that want non-technical users to query business data in plain English
• Product teams embedding analytics and AI chat into their applications
• Organizations wanting AI agents to query governed company data through MCP or the API
• Companies seeking governed, auditable AI analytics with SOC 2 Type II compliance

Pricing

Not stated on the website