AI data analyst with governed answers

The core feature is an AI analyst that answers business questions in natural language. Every answer is computed from your governed metric definitions and shows the SQL behind it, so business users can self-serve without the data team losing sleep. This is a significant step beyond generic chatbots because it ties every response to a verified definition.

Business outcome: Reduces ad-hoc report requests to the data team while maintaining a single source of truth for key metrics.

Prompt-generated visual dashboards

Describe what you want to track and Basedash generates a custom dashboard in minutes. The platform handles the chart types, aggregations, and layout, so a manager can go from a prompt like "show our core growth KPIs" to a live dashboard without touching SQL.

Business outcome: Cuts dashboard creation time from days to minutes, enabling faster decision cycles.

Connect 750+ data sources

Basedash connects directly to your data warehouse, including Snowflake, and supports 750+ data sources. This means you are querying live data, not a synced copy, which keeps answers current and reduces the need for separate ETL pipelines.

Business outcome: Ensures decisions are based on real-time data without maintaining a separate analytics database.

Reusable SQL metric definitions

The semantic layer lets you define metrics once in SQL and reuse them across all dashboards and AI queries. This is the governance backbone that prevents the "which MRR number is right?" problem that plagues many organizations.

Business outcome: Standardizes KPIs across departments, eliminating conflicting reports and debates over data accuracy.

Embed charts in your product

Businesses can embed Basedash charts directly into their own SaaS product or internal tools. This turns your BI platform into a customer-facing feature, allowing you to show usage analytics or performance metrics to your own users.

Business outcome: Adds a data-driven feature to your product without building a custom analytics stack.

Connect any AI client to your data

The MCP (Model Context Protocol) server allows you to connect external AI clients to your governed data. This is forward-looking for teams that want to use their data with other AI tools while maintaining the same security and governance controls.

Business outcome: Future-proofs your data stack by making it accessible to a growing ecosystem of AI agents.

• Governed AI answersThe semantic layer ensures every AI answer is computed from approved metric definitions, which is rare in the AI BI space.
• Flat-rate pricingThe $1,000/month plan for up to 25 users is predictable and far more cost-effective than per-seat licensing for teams.
• Transparent SQLShowing the SQL behind every answer builds trust with data teams and allows for easy verification.
• Compliance-readySOC 2, GDPR, and HIPAA compliance, plus self-hosting options, make it viable for regulated industries.

• High entry priceAt $1,000/month, the Startup plan is a significant investment for small businesses or early-stage startups.
• AI usage costsThe base price includes $1,000/month in AI credits, but heavy usage could lead to additional, unpredictable costs.
• Requires a warehouseThe platform is designed for teams with a data warehouse; it is not a replacement for one.
• Professional RealityBefore purchasing, ensure your team has the data infrastructure and the willingness to adopt a new BI tool; otherwise, the flat-rate cost will not translate into value.

Revenue operations

RevOps teams can use Basedash to build a single dashboard for MRR, churn, and expansion revenue. The AI analyst can reconcile totals against Stripe and flag trends like referral signups growing faster than paid search.

Product analytics

Product managers can ask questions about feature engagement, onboarding conversion rates, and cohort retention without writing SQL. The platform's ability to scan the data catalog and calculate metrics on the fly speeds up discovery.

Customer success

Success teams can identify churn risks by asking the AI analyst to surface accounts with open issues or declining usage. This proactive approach helps retain at-risk accounts before they cancel.

Marketing analytics

Marketing leaders can track blended cost per lead and cost per acquisition by channel. The AI analyst can break down signups by attribution channel and highlight which campaigns are driving compounding growth.

Start a 14-day free trial on the Basedash website — no credit card is required.

Connect your data warehouse (e.g., Snowflake) or one of the 750+ supported data sources.

Define your core metrics in the semantic layer, such as MRR and new signups, using SQL.

Ask the AI analyst to build your first dashboard using a natural language prompt like "Build me a dashboard for revenue and signups over the last year."