Basedash

Basedash

Basedash is an AI-native business intelligence platform that turns plain-English questions into governed charts, dashboards, and answers across a company's live data.

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SAASAI Agentai-workflowArtificial Intelligence
Last Updated Oct 22, 2026
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About

Basedash is an AI-native business intelligence platform built around natural-language analytics. Teams connect their databases, warehouses, and SaaS tools, then ask questions in plain English and receive charts, dashboards, or direct answers grounded in governed metric definitions. The product aims to remove the usual bottleneck where every data question has to pass through an analyst writing SQL by hand.

At a high level, Basedash combines a full BI stack in one platform: self-serve analytics with visible SQL for auditability, a semantic layer and context engine, ETL-style ingestion from more than 750 data sources, a managed DuckDB warehouse, embedded analytics for customer-facing products, and a remote MCP server so external AI agents can query the same governed data. The company behind it, BaseDash Inc., was founded in 2020 by Max Musing and is backed by Y Combinator and Matrix.

Key Features

AI data analyst: Anyone can ask a question in plain English and get a chart, dashboard, or direct answer, with the underlying SQL shown so results can be checked and traced back to governed definitions.
Dashboards from a prompt: Live dashboards can be generated from a single prompt, using governed metrics, and support filters, sharing, subscriptions, and exports.
Data ingestion and managed warehouse: More than 750 data sources connect through direct database links (PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Databricks) and Fivetran-powered SaaS connectors that sync into Basedash Warehouse, a managed DuckDB warehouse.
Insights and anomaly detection: Agents monitor metrics continuously, flag unusual movements with explanations of what changed and why, and deliver briefs to Slack or email on schedules or triggers.
Embedded analytics: Dashboards and AI chat can be embedded into a customer's own product with a few lines of React, white-labeled and scoped per user through JWT SSO.
MCP server interoperability: Claude, ChatGPT, Cursor, and other MCP clients can query Basedash through a remote MCP endpoint, using the same models and permissions as the native interface.
Semantic layer (Models): Governed SQL datasets with measures, segments, and relationships can be drafted by AI and verified by the team, then reused by chat, dashboards, and external agents.

Pricing & Fees

  • Pricing: Basedash uses flat-rate plans rather than per-seat licensing. The Startup plan costs $1,000/month plus AI usage and covers up to 25 users with $1,000/month of AI credits; the Enterprise plan is custom-priced and adds SSO, SCIM, audit logs, embedding, custom AI models, and self-hosting.
  • Free trial: A 14-day free trial is available with no credit card required.
  • Data freshness: Queries run directly against connected databases, so answers reflect data at query time; SaaS connectors sync on per-source schedules ranging from every 15 minutes to every 24 hours, with on-demand syncs.
  • Security and compliance: SOC 2 Type II certified, with encryption in transit and at rest, role-based access control, SSO, SCIM, and audit logs. HIPAA is supported via self-hosting or private VPC, GDPR is supported with a DPA available, and customer data is not used to train models.

Who It's For

Basedash is aimed at product, engineering, operations, growth, sales, marketing, customer success, finance, and executive teams that want self-serve analytics without a heavy BI implementation. It suits startups and growing companies that need non-technical staff to answer their own data questions, teams that want proactive anomaly alerts instead of waiting for scheduled reports, and product companies that want to embed an AI analyst directly into their customer-facing software. It is also relevant for organizations connecting external AI agents like Claude or Cursor to governed company data.

FAQ

What is Basedash?Basedash is an AI-native business intelligence platform that turns natural-language questions into governed answers, charts, dashboards, reports, and automations built on a company's live data.

How much does Basedash cost?The Startup plan is $1,000/month plus AI usage for up to 25 users, including $1,000/month of AI credits; Enterprise plans are custom-priced. A 14-day free trial requires no credit card.

What data sources does Basedash connect to?It supports more than 750 data sources, including direct connections to PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, and Databricks, plus Fivetran-powered SaaS connectors that sync into the managed Basedash Warehouse.

How does Basedash differ from a general chatbot like ChatGPT?Basedash connects to the customer's live data and governed metrics, shows the SQL behind every answer, and applies workspace permissions, whereas general chatbots have no access to a company's governed data.

Does Basedash train models on customer data?No. Basedash states that customer data is never used to train models, and the platform holds SOC 2 Type II certification with encryption in transit and at rest.