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Supaboard lets you see beyond dashboards

Ask an AI connected to your business data what’s happening and why, then keep watching what matters.

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Trusted by businesses across the world

  • Jindal Healthcare
  • Shopee
  • NetEase Games
  • Holcim
  • Publicis Sapient
  • Nilfisk
  • ClickBus
  • AAA
  • Scopely markScopely
  • FunPlus
  • Bilt
  • GlobalSign
  • Katalon
  • StockGro
  • Yami
  • Immutable
  • Plane
  • Gabriella
  • Visily
  • Poka
  • Trafilea

One question, answered start to finish

  1. 1. Ask

    “Why is the West down last month?” Asked in plain English, from the app, Slack or Claude. Revenue is up 7% overall, but the West fell 20%, from $70k to $56k.

  2. 2. Explore

    A follow-up splits the West by what changed. Gross sales held flat at $75k. Refunds rose from $5k to $19k.

  3. 3. Understand

    Refunds on delayed orders went from $2k to $16k: that is the drop. The query behind each number is one click away, and your agent applies your own definition of a refund.

  4. 4. Keep watching

    An alert now checks refunds on delayed orders and emails the team when they climb again.

An illustrative example on sample data. Your questions start from the data you connect.

How teams understand more of their business

  • 90% lower analysis cost

    Jindal Healthcare moved their exploratory analysis to agents and cut total analysis cost by 90%

  • Analysis: 2 Days to 4 Mins

    Objection AI cut exploratory analysis from 2 days to 4 minutes, from request to answer

  • 97.8% Accuracy on the BI Bench

    The share of BI Bench questions Supaboard answered correctly

Explore, understand, and keep watching what matters

  1. 1. Understand the answer

    Agents that know what your business means by each number

    • Agents

      Load the rules, the definitions and the gotchas per table, so an agent knows what your team means by “active customer”

    • Agent memory

      Tell the agent something once in chat, like discard vendors with failed compliance, and it's saved to memory and applied automatically from then on

    • Graded by evals

      Write the questions you already know the answers to, and see how the agent scores on each one

  2. 2. Keep what you found

    Turn a discovery into a dashboard your team comes back to

    • Realtime Dashboards & Live Datasites

      Describe what you want to watch. The charts get picked, wired to live data, and laid out as one board, or as a whole datasite on a link you can send

    • Embeds

      One iframe into your own product. You pick which filters the viewer controls, and whether the page demands a signed token before it loads

    • Insights

      Every chart writes up what changed beside it: which segment moved, by how much, and what it means if the trend holds

  3. 3. Keep watching

    Reports and alerts that keep watching for you

    • Scheduled Reports

      Describe the report once. It runs on your schedule and arrives already written up

    • Run History

      Every run is logged. See when it fired, what each step returned, and why, with no digging required

    • AI Analyst Steps

      Add an Ask Analysts step to the workflow, and AI Analyst answers afresh from live data every time the automation fires

Built for your business definitions and access controls

Read-only by construction, credentials that never leave the workspace, every query logged. The controls a security review asks for, stated plainly.

  • GDPR compliance badge

    GDPR

    Built to the EU’s data protection rules, including where your data is processed.

    Data Encryption

    Connection credentials are encrypted at rest, scoped per workspace, and never logged or returned to the browser.

  • AICPA SOC 2 badge

    SOC 2 Type II

    Controls audited by an outside firm, over a period, not on one day. Report available under NDA.

    Your data stays yours

    The query layer rejects DROP, INSERT, UPDATE and every other write before it reaches your database.

  • HIPAA badge

    HIPAA

    A signed BAA, and infrastructure that can hold protected health information.

    Secure Integrations

    Verified variables scope every query to the signed-in user's own data.

Works with the data your business runs on

Your databases, apps and tools

12 databases and warehouses, queried when you ask, and 22 apps your agents read through MCP. Nothing is synced or copied ahead of time.

Connect your data

1. Databases & Data Warehouses

  • ClickHouse
  • Snowflake
  • Databricks
  • Google BigQuery
  • PostgreSQL
  • SQL Server
  • MySQL
  • Amazon Redshift
  • MotherDuck
  • MongoDB
  • Oracle Database
  • Supabase

2. Apps, Read Live

  • HubSpot
  • Stripe
  • PostHog
  • Mixpanel
  • Amplitude
  • Sentry
  • Linear
  • Jira
  • Asana
  • Notion
  • Confluence
  • Google Drive
  • Google Sheets
  • +9

3. Ask From Slack & MCP Clients

  • Slack
  • Claude
  • ChatGPT
  • MCP clients
  • Lovable
  • +5

Built to explore past the dashboard

Supaboard compared with Tableau, Power BI, Looker, Metabase and ChatGPT on AI analysts, generated dashboards and data apps, alerts, cross-source questions, context and connectors, from the sourced comparison at /compare
FeatureSupaboardTableauPower BILookerMetabaseChatGPT
AI data analystsYesAgents tuned on your business rules and metric definitions, with the SQL shown beside every answerPartialTableau Agent gives insights inside Pulse and Ask Q&A; Pulse is Tableau Cloud onlyPartialCopilot answers inside a semantic model somebody has already publishedPartialConversational Analytics answers against a modelled ExplorePartialMetabot answers questions, writes SQL and explains charts; it sees only what the user can seeNoAnalyzes files uploaded per conversation, not an ongoing agent tuned to your business rules
Dashboards, AI madeYesA live dashboard from a single promptPartialThe AI helps an analyst build a workbook; it does not produce one from a promptPartialCopilot drafts report pages inside a published modelYesThe MCP server exposes tools for creating dashboards and LooksNoMetabot helps build and explain questions rather than generating a dashboardPartialSites can publish a persistent shareable dashboard, but it's prompt-built, not warehouse-connected
Data apps, AI madeYesLive data apps on your own design system, from a promptNoDashboards and workbooks, not applicationsPartialPower Apps, built by a maker rather than generated from a promptPartialExtensions, built by a developer against the Looker APINoPartialSites can build a shareable app from a prompt, but isn't wired to live company databases
AlertsYesThreshold and anomaly alerts described in plain English, which analyse the change rather than only announce itYesData-driven alerts on a continuous numeric axis, sent by email, in-site or to SlackPartialOnly on dashboard tiles pinned from gauge, KPI and card visuals, and visible to nobody but the person who set itYesOn query-based or Look-linked dashboard tiles, set up tile by tileYesOn a saved question, delivered by email, Slack or webhook; webhooks are admin-onlyPartialMonitoring tasks can watch for changes and notify, not threshold or anomaly alerts on metrics
Cross-source data queryYesOne question spanning every connected sourceYesCross-database joins and blends, defined in the workbookYesOnce sources are combined into one model in Power QueryNoOne connection per model; joins live inside LookMLNoA question can only use tables from the same database as its starting dataPartialCompany Knowledge cites across connected apps, but it's document search, not a live data join
Context and memory managementYesRulesets, knowledge, dropped files and apps such as Notion, read through MCPPartialA published data source, plus whatever the workbook author knewPartialThe semantic model, published from DesktopYesLookML: strong governance, and a modelling project before the first questionPartialModel metadata and, on Pro, a system prompt for MetabotPartialCompany Knowledge cites across connected apps company-wide, but memory itself is per-user
Connectors12 databases + 22 appsDatabases and warehouses queried live when a question is asked; apps read live through their MCP servers~100Listed connectors. Tableau publishes no single totalHundredsListed in Power Query. Microsoft publishes no single total48SQL dialects. Databases and warehouses only18Databases with official drivers. Databases only, not SaaS appsNot publishedApps directory lists many third-party apps, not a single vetted connector catalog with a total

Each cell above is the verdict from the full comparison, where every competitor figure is read from the vendor’s own page and dated — compare Supaboard with any of 24 tools. For the questions dashboards leave open, read on.

Your next question probably isn’t on your dashboard

Dashboards track the questions someone already decided to ask. Supaboard helps you explore the ones that come next.

  1. 1. Planned for

    A dashboard

    Built once, read every day. It stays.

  2. 2. Came up on a Tuesday

    A ticket, a spreadsheet, or a guess

    Never worth a build. This is the backlog.

  3. 3. With Supaboard

    Asked and answered

    From your connected data, with the query shown.

What teams say about seeing beyond their dashboards

  • Most data analytics tools are either too complex for everyday users or too basic for meaningful insights. But Supaboard brilliantly bridges this gap.

    Karthik (KP) Puvvada, HoC, Netlify
  • Supaboard has fundamentally changed how we run our revenue cycle. What earlier took our team over four hours now takes under three minutes, and we’ve lowered our analytics cost by nearly 90%.

    Sanjiv Garg, CEO, JindalX
  • We have connected everything, from LinkedIn Ads, local DB, to Asana, Supaboard has been our one source of truth trusted by every team member, we don’t even need a analysis team.

    Kyle C Grant-Talbot, CTO, The Primary

Understand what’s behind the answer

See the query and the business definitions behind every chart and number.

Supaboard award badges: Momentum Leader, Easiest Setup and High Performer for small business, Spring 2026

See beyond dashboards.

Start with the question your current charts don’t answer.

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