FOR STARTUPS

A data team in a box

Connect your warehouse. Ask in plain English. Get an answer in seconds. Defer the data hire you’re not ready for.

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Startup teams like yours already benefit from Querio

Answer "Is it working" yourself and make decisions faster

  • 0 to $5M ARR

    in 12 months without a dedicated data hire

  • $200K+

    saved annually by retiring Looker and the analyst overhead around it

  • 3w to 30m

    Cut time-to-new-report from 3 weeks to 30 minutes

01

Connect your warehouse and start using it

Point Querio at your warehouse (Postgres, BigQuery, Snowflake, ClickHouse, MotherDuck, Redshift, MySQL, MariaDB, MSSQL). The agent works against your schema on day one — you don’t need a perfect Context layer to start. Build Context as questions come up, and by Series B your first data hire inherits a versioned source of truth instead of starting from zero.

02

Your investor update writes itself

Build the investor Board once. MRR, retention, burn, activation, conversion. It refreshes on a schedule from a reactive Notebook, so the Monday board call starts with this week’s number, not last quarter’s PDF. Mark a Board “verified” so your board members know which is the signed-off version.

03

Replace the spreadsheets and the “can you pull this” thread

Querio is a glass box — every answer is real code that’s there if your most technical person wants to verify it, ignored if they don’t. The Slack thread asking your engineer to “pull this real quick” goes away. Founders and ops leads ask: “what’s our trial-to-paid this quarter?”, “MRR by plan tier?”, “which channels are bringing customers that stick?”.

What you get on day one

  • Connect in minutes

    BigQuery, Snowflake, Postgres, ClickHouse, MotherDuck, Redshift, MySQL, MariaDB, MSSQL.

  • Free trial that gets you running

    Sign up, point at a warehouse, ask a question.

  • Context that grows with you

    Start with nothing. Add a rule when you need one. By the time you hire a data person, your Context is real.

“Querio changed how we work with our data — and with each other.”

Built for teams that can't compromise on security.

SOC 2 Type II. Querio runs against your warehouse using your existing credentials. Customer data is never used to train models. RBAC and SSO.

Read our security review ›
  • Your data is never used for training

    Querio has read-only access to your data. We cache conversation previews so your past chats load fast — nothing else is stored, and nothing is ever used for training, on our side or our model providers'.

  • Your queries run inside your infrastructure

    Querio's code execution environment — where credentials live and queries hit your database — can run on your own infrastructure. Your data never leaves your perimeter to be queried.

  • SOC 2, GDPR, and HIPAA ready

    Compliance documentation ready for procurement. BAAs available for healthcare, full GDPR alignment for EU data.

  • Built for security reviews

    Documentation, architecture diagrams, and security questionnaires ready to go. We've been through the review process — we know what your team needs.

Frequently Asked Questions

We don’t have a data team. Can we still use Querio?

Yes. Connect your warehouse and start asking questions; Querio handles the SQL or Python under the hood.

Do we need a warehouse?

For non-trivial analysis, yes. If you’re on production Postgres, that works. If your data is in Stripe / Shopify / HubSpot, sync into a warehouse with Fivetran or Airbyte and point Querio at it.

What does this replace?

The spreadsheets, the patched-together SQL in someone’s Notes app, and the “can you pull this” pings to your most technical person.

What happens when we hire a data person?

They inherit the Context layer your team has been building — versioned and file-based, so they extend it rather than rebuild it.

How much does it cost?

See Pricing.

Skip the analytics hire. Get the answers anyway.

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