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Basedash

ANALYTICS
Velocity10.0

AI-powered business intelligence and database interface with chat-based data analysis, dashboards, and automations

www.basedash.com ↗

Basedash's chat builds entire dashboards now — it's crossed from question-answering into workspace creation.

ai-analyticsdata-governanceno-code-bisemantic-layertask-automation
◆Current state
Basedash has shipped a concentrated wave of AI-first features: chat can now build full dashboards from plain language (charts, tabs, filters, variables with live preview), Models introduced a governed semantic layer with reusable SQL definitions, AI Sources shows the tables and SQL behind every answer, and Tasks launched an AI-driven operations autopilot in research preview. The product has fundamentally shifted its positioning from BI tool with AI to AI-native analytics workspace.
◆Where it's heading
The arc is toward autonomous analytics: AI that doesn't just answer questions but plans, builds, and governs the data infrastructure behind those answers. Models give AI answers an auditable foundation; Tasks translates those answers into operational to-do lists; chat now builds the dashboards that communicate them. Public sharing, i18n, and the Grok Bot plugin extend the audience beyond data teams to external stakeholders and non-English users.
◆Prediction
Tasks will leave research preview and become a core product pillar, with more automation triggers (scheduled runs, threshold-based). Chat dashboard creation will deepen — full automation of recurring reports, not just one-shot builds. Expect additional LLM integrations beyond Grok Bot as the plugin pattern proves out.

◆Recent moves

  1. 5d ago

    Build entire dashboards straight from chat

    ⚡ SPARK

    Chat can now build entire dashboards — not just answer single questions — from plain-language descriptions, with a live interactive preview inside the conversation. This is a categorical upgrade from single-query answering to full workspace creation, directly closing the gap between asking and having a finished product.

  2. 7d ago

    Introducing Basedash in English, Español, Français, and Português

    The Basedash interface now supports English, Spanish, French, and Portuguese, switchable from profile settings with an instant reload-free transition. Broadens the accessible user base beyond English speakers without touching core product capabilities.

  3. 12d ago

    Meet Models: a semantic workspace your whole team (and your AI) can build on

    ⚡ SPARK

    Definitions become Models — a top-level semantic layer with reusable, governed SQL for core business concepts (customers, orders, active accounts) that both humans and AI reference by name. Models are queryable like tables with select * from models.name, and legacy definition references migrate automatically, giving AI answers a grounded, auditable data source.

  4. 14d ago

    Introducing AI Sources: see what built every answer

    AI answers now expose the tables, definitions, charts, connections, web pages, SQL, and actual returned rows that built them. Closes the 'black box' objection for data and analytics teams reviewing AI output — every answer is now auditable back to its source data.

  5. 19d ago

    See the sources behind every AI answer

    Completed AI answers now collapse the thinking timeline to a brief summary ('Analyzed for 1m 12s'), keeping the final response front and center. In-progress answers still show the current step. A UX improvement for non-technical users who found the expanded tool call trace disorienting.

  6. 21d ago

    Introducing Basedash for Grok Bot

    An official Basedash plugin for Grok Bot lets xAI users query governed company data from within Grok and list connected data sources. Extends Basedash's distribution reach to a new LLM ecosystem without requiring users to leave their preferred AI interface.