# Basedash > Basedash is an AI-native business intelligence platform that turns natural-language questions into governed answers, charts, dashboards, reports, and automations on top of live company data. Basedash is used by product, engineering, operations, growth, sales, marketing, customer success, finance, and executive teams that want self-serve analytics without a heavy BI implementation. The platform combines an AI data analyst, prompt-to-dashboard workflows, AI-first Models for data transformation and semantic modeling, scheduled reports and alerts, embedded analytics, and a remote MCP server for AI clients. Full export: https://www.basedash.com/llms-full.txt Basedash is: - Distinct from general chatbots such as ChatGPT or Claude: it connects to the customer's live data and governed metrics. - A full BI platform, not only a SQL client, dashboard builder, or admin panel. - Distinct from notebook analytics tools such as Hex: it is built for governed, company-wide BI rather than notebook-first analysis. Key facts: - Integrations: 750+ data sources through direct database and warehouse connections (PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Databricks) plus Fivetran-powered SaaS connectors. - Pricing: flat-rate team pricing rather than per-seat licensing. The Startup plan is $1,000/month plus AI usage for up to 25 users; Enterprise plans are custom and add SSO, SCIM, audit logs, embedding, custom AI models, and self-hosting. 14-day free trial with no credit card required. - Security: SOC 2 Type II; encryption in transit and at rest; role-based access control; SSO; SCIM provisioning; native audit logs. HIPAA is supported via self-hosting or private VPC. Controls are aligned with ISO 27001. GDPR is supported (DPA available). Customer data is never used to train models. - Data freshness: queries run directly against connected databases and warehouses, so answers and dashboards reflect current data at query time rather than a stale extract. - Benchmark: on BI Bench, Basedash scored 92.1% accuracy with a 28.6-second average response time, ahead of Codex (90.9% accuracy, 54.3-second average), Hex (80.6% accuracy), and Snowflake Cortex (19.2% accuracy, 19.0-second average). - MCP server: remote endpoint at https://charts.basedash.com/api/public/mcp with browser-based OAuth (no shared API key). Tools: `ask_question` for plain-English analytics and `get_data_sources` for source discovery, both governed by Basedash workspace permissions. Works with Claude Code, Cursor, ChatGPT, Windsurf, and other MCP clients. Listed as `com.basedash/mcp` in the [Official MCP Registry](https://registry.modelcontextprotocol.io/), as `basedash/basedash` on [Smithery](https://smithery.ai/servers/basedash/basedash), with public server metadata on [GitHub](https://github.com/Basedash/mcp). - Adoption: powering analytics for 5000+ teams worldwide. Last updated: 2026-08-31 ## Product - [Home](https://www.basedash.com): Product overview and primary positioning. - [Pricing](https://www.basedash.com/pricing): Flat-rate AI BI pricing, plan comparison, budget scenarios, and pricing-model details. - [Features](https://www.basedash.com/features): Index of product capabilities, including Models, warehouse, embedding, insights, automations, skills, and self-hosting. - [AI data analyst](https://www.basedash.com/features/ai-data-analyst): Conversational analytics and natural-language data workflows. - [Dashboards](https://www.basedash.com/features/dashboards): Prompt-to-dashboard workflows, AI-generated chart answers, and metric playbooks by team. - [Models](https://www.basedash.com/features/models): AI-first data transformation and semantic modeling with dimensions, measures, segments, verification, and version history. - [MCP server](https://www.basedash.com/features/mcp-server): Remote MCP server connecting AI clients to governed BI, semantic metrics, charts, and company data. - [Data sources](https://www.basedash.com/data-sources): Catalog of all 750+ supported integrations, grouped by category. - [BI Bench](https://www.basedash.com/bi-bench): Public benchmark comparing AI data analyst agents on accuracy and speed across complex BI tasks. - [BI Bench results (GitHub)](https://github.com/Basedash/bi-bench): Aggregated accuracy and latency scores, CC BY 4.0. - [Security](https://www.basedash.com/security): Access control, encryption, audit logs, deployment options, and data-handling practices. - [Compliance](https://www.basedash.com/compliance): SOC 2 Type II, HIPAA, ISO 27001 alignment, GDPR, CCPA, and DPA details. - [FAQ](https://www.basedash.com/faq): Canonical product questions with direct answers. - [Documentation](https://www.basedash.com/docs): Product documentation and implementation guidance. ## Solutions - [Solutions index](https://www.basedash.com/solutions): Basedash by team, use case, database, platform, and migration path. Follow this hub for the rest of the landing pages. - [BI for Snowflake](https://www.basedash.com/lp/bi-for-snowflake): AI-native dashboards with optimized Snowflake SQL and no data movement. - [BI for startups](https://www.basedash.com/lp/bi-for-startups): Investor-ready dashboards with MRR, burn rate, runway, and growth metrics. ## Comparisons - [Comparison hub](https://www.basedash.com/vs): Index of Basedash head-to-heads, competitor-vs-competitor pages, and alternatives guides. Follow this hub for Power BI, ThoughtSpot, Lightdash, and the rest. - [Basedash vs Metabase](https://www.basedash.com/vs/basedash-vs-metabase): Head-to-head comparison for teams evaluating both. - [Basedash vs Tableau](https://www.basedash.com/vs/basedash-vs-tableau): Head-to-head comparison for teams evaluating both. - [Basedash vs Omni](https://www.basedash.com/vs/basedash-vs-omni): Head-to-head comparison of AI-native BI operating models. - [Basedash vs Sigma](https://www.basedash.com/vs/basedash-vs-sigma): Head-to-head comparison of AI-native BI and spreadsheet-style cloud analytics. - [Basedash vs Hex](https://www.basedash.com/vs/basedash-vs-hex): Head-to-head comparison of AI-native BI and notebook analytics. - [Basedash vs Snowflake Cortex](https://www.basedash.com/vs/basedash-vs-cortex): Head-to-head comparison of AI-native BI and Snowflake in-warehouse conversational analytics. - [Basedash vs Looker](https://www.basedash.com/vs/basedash-vs-looker): Head-to-head comparison for teams evaluating both. ## Resources - [Automation templates](https://www.basedash.com/automation-templates): Library of first-party report and alert templates grouped by team, each with a copy-pasteable AI prompt, example output, and required data sources. - [Free developer tools](https://www.basedash.com/tools): Browser-based SQL, JSON, CSV, and data utilities that run entirely client-side. - [BI TCO calculator](https://www.basedash.com/tools/bi-tco-calculator): Estimates 3-year total cost of ownership for Basedash, Tableau, Power BI, Metabase, and Looker across creator/viewer mixes, with published list prices. ## Optional - [Changelog](https://www.basedash.com/changelog): Recent product release notes. - [Case studies](https://www.basedash.com/case-studies): Customer stories and outcomes. - [Blog](https://www.basedash.com/blog): Product updates and educational content. - [Brand](https://www.basedash.com/brand): Logos, naming, and brand guidelines. - [Privacy policy](https://www.basedash.com/privacy-policy): Data handling and privacy terms. - [Terms of service](https://www.basedash.com/terms-of-service): Service terms and usage policies. - [Data processing addendum](https://www.basedash.com/data-processing-addendum): Processing terms and obligations.