DATA TEAM
Focus your team. Scale answers
Stay the source of truth. Let the rest of the org self-serve safely from the work you built and approved
No credit card required
Data teams like yours already benefit from Querio
Remain the owner of the truth while reducing the ad-hoc request backlog so you can focus on real analytical work
10h
saved time on analysis per week
30
dashboards migrated from Tableau to Querio
20h
back by automating manual data work
Your governed logic, in one place
Querio’s Context layer holds your skills, rules, metrics, and catalog. It’s versioned by default, self-healing over time, and lives in a flexible file system. Define a metric once and it’s the same metric in Explore, in a Board, and in the agent’s answer. Changes are reviewable; the team writes the definition, and the agent inherits it.
Build artifacts your team can actually ship
Boards refresh on a schedule from the same Notebook that produced them, so when a metric shifts, the Board updates with it. Mark a Board “verified” so business users can tell what’s data-team-reviewed from a one-off Explore answer. Subscription dashboards, churn cohorts, billing reconciliations — the artifacts your team builds stay live and reproducible.
Every answer is code you can read and edit
Every AI-generated result is real SQL or Python you can open, edit, and re-run. No regenerating from scratch, no guessing what the agent did. As your team accepts answers, those decisions feed back into Context, and accuracy compounds instead of starting over every quarter. Reviewers can audit; analysts can extend.
Querio has everything you need to work with data and stay ahead
One platform, three surfaces
Explore is plain-language analytics for anyone in the company. Notebook is a reactive Python notebook for deep analysis. Boards are publishable, refreshable reports.
Notebook
Reactive Python. Cells recompute when dependencies change. Stored as .py
Context
Skills, rules, metrics, catalog. Versioned. Self-healing. File-based.
“I've used a bunch of analytics tools and they all seem like air sellers after I tried Querio!”
Built for data 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
How is Querio different from a notebook tool with chat added?
Querio is a reactive Python notebook plus a versioned Context layer plus plain-language Explore, all on the same source of truth. The agent works against your governed Context.
Can I trust the agent with the metrics we care about?
Every answer is real SQL or Python you can read and edit. As your team accepts answers, Context gets sharper.
Will Querio fit our warehouse?
Querio runs against your existing warehouse using your existing credentials. BigQuery, Snowflake, MotherDuck, Redshift, ClickHouse, Postgres, MySQL, MariaDB, MSSQL.
What about our dbt models?
You can sync existing dbt models as part of your Context.
How do I keep business users from creating a governance mess?
Business users ask in Explore against your governed Context. You decide which Boards are verified.