Your data, finally self-serve, ready in minutes, accurate, available in Claude and ChatGPT

Answers, investigations, reports and dashboards from your warehouse, any time anyone asks.

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Trusted by teams at

“I love the tool. It solves the right problem for me as a PM. My win is that I don’t have to go to an analyst to get simple data.”
Jaydip Sontakke

Jaydip Sontakke

Product, PhysicsWallah

Powerplay
Dental Stack

Don't settle for single-player AI.Skoot is built for your whole data team.

  • Set it once

    Analysts define metrics and verified queries. Every chat uses them.

    Anika · Analystweekly_revenue.sql
    SELECT region, sum(amount) AS revenue
    FROM orders
    WHERE status = 'paid'
    AND is_test = false
    Added to shared contextMark as verified
    Rahul · PM

    How did revenue do last week?

    $1.92M, up 6% on the week before. South led.

    Used weekly_revenue, verified by Anika

  • Root cause in minutes

    One prompt, 26 explorations, the cause in 3m 43s.

    Why did cancellations spike on Mar 14?0m 00s
    Cancelled orders per day+38% on Mar 14
    • Payment failures

    • Delivery delays

    • Category mix

    • Seller approvals

    InvestigatingApprovals slowed for 3 sellers on Mar 14.
  • Ask where you work

    Skoot, Claude or ChatGPT, with the same context behind each.

    Skoot

    How did revenue do last week?

    $1.92M, up 6% on the week before.

    South
    North
    East
    West

    Verified query weekly_revenue

  • Nothing to migrate

    From Snowflake to Slack, connected as it is today.

    • MCP
    • Snowflake
    • Looker
    • Google Sheets
    • BigQuery
    • Slack
    • dbt
    • Google Docs
    • Tableau
    • Notion
    • ClickHouse
    • Power BI
    • Redshift
    • Postgres
    • Metabase
    • Athena
    • Superset
    • Trino
    • Gmail
    • Google Drive
    • Salesforce
    • HubSpot
    • Jira
    • Linear
    • GitHub
    • Google Analytics
    • Stripe
    • Airtable
    • Google Calendar
    • Confluence
    • Figma
    • Asana
    • Zendesk
    • Intercom
    • SAP HANA

Made for messy warehouses. General AI loses its way in them.

  • Purpose-built for massive warehouses

    Finds its way across tens of thousands of tables.

  • Designed for speed

    Fast enough to ask during the meeting.

  • Easy to verify

    Review the data in a BI view, not a wall of chat.

Customer story

PhysicsWallah's data team runs on Skoot.

  • 7x usage

    in 2 months

  • More PMs

    than analysts, every week

  • Daily use

    by most users

Read the PhysicsWallah story
  • “The end result is not a black box for me. I switched majority of my analytics workflow to Skoot within 2 weeks.”
    Vibhu Pandey

    Vibhu Pandey

    Lead Analyst, PhysicsWallah

  • “Our success team now builds tailored BI dashboards for our customers, without an analyst.”
    Souvik Roy

    Souvik Roy

    Head of Analytics & AI, Powerplay

  • “We now ship a dashboard for every product experiment in 2 days, not 7.”
    Chandan Budhiraja

    Chandan Budhiraja

    Head of Product Analytics, PhysicsWallah

Your data stays in your warehouse. Every question leaves a trail.

  • Restricted access

    • Read-only credentials
    • IP allowlisting
    • Choose the tables the agent sees
  • Governed queries

    • Review queries before they run
    • Timeouts to avoid cost spikes
    • On-the-fly query optimization
  • Identity and audit

    • Single sign-on
    • Full query audit trail
  • Deployment

    • Managed cloud
    • In your cloud

Common questions

Isn't this just text-to-SQL?

No. Text-to-SQL turns one question into one query. Skoot works like an analyst: it plans the work, runs as many queries as the question needs, checks results against your team's verified definitions and shows its work.

Can we trust the numbers?

Every answer is built on definitions your analysts verified, and shows the queries and context it used. When challenged, Skoot gathers more evidence instead of just agreeing.

How is it different from Claude or ChatGPT?

They give each person a private setup. Skoot gives the whole team one shared context that analysts set up once, and an agent built for data work, so it stays on the question. See the full comparison.

We already have a BI tool.

Keep it for shared dashboards. Skoot reuses their definitions and answers what dashboards can't: why a number moved, and every cut after it.

Which warehouses and tools does it work with?

Snowflake, BigQuery, Athena, Trino, Postgres, Redshift, ClickHouse and SAP HANA. It also reads context from Power BI, Looker, Tableau, Metabase, Superset and dbt.

Can we use it inside Claude or ChatGPT?

Yes. Use the Skoot app, or connect Skoot to Claude or ChatGPT. The same shared context sits behind each.

Are my chats visible to everyone?

No. Chats stay private unless you share them. The shared context is only what your analysts choose to publish.

How fast can we start?

First useful answers come within 1 to 2 days of connecting your warehouse. See how the pilot works.

Try Skoot on your data.Live within a week.

Connect your warehouse. A forward deployed analyst sets up the rest with your team.