A data library that organizes itself around your business
Querri is an AI-powered data platform built around 'The Library,' a self-organizing data store that learns a company's business context—questions, KPIs, definitions, and relationships—instead of starting from database schemas. Its AI agent, the Librarian, models connected sources automatically, organizes data into views and collections around the questions teams actually ask, and answers questions in plain language with role-appropriate results. Users can ask questions via chat, build dashboards, and connect AI clients like Claude, ChatGPT, and Cursor through MCP. Querri positions itself as a replacement for the traditional data stack: cleaning, joining, analyzing, and dashboards in one tool with no engineering required.
An AI agent that onboards you via conversation (starting with your business questions and KPIs before any data is connected), models connected sources automatically, learns definitions and relationships, and gets smarter with every team interaction.
Every question, KPI, view, fact, and source is connected in a graph that maps how the business fits together—from top-level questions down to individual columns—the same map the AI works from when answering.
Collections organize data around the questions teams ask, with anchor questions, views (clean tables built to answer a question), and KPIs defined once so everyone calculates them the same way.
Practitioners, managers, and executives each get answers built on the same governed foundation, tailored to their role, with access control enforced against the asker's permissions at query time and lineage traced back to the source.
Chat, dashboards, CLI, and API, plus AI clients (Claude, ChatGPT, Cursor) via MCP access.
Monitors check each KPI against its own history and surface what moved in your Inbox and email; nightly, Querri finds questions nobody has asked yet and files them for review.
Connect sources like Salesforce, PostgreSQL, Google Sheets, HubSpot, databases, and file uploads (CSV).
Personal uploads and analyses stay yours until you choose to share them; access is granted explicitly, never by default.
You start with a conversation about your business and decisions; the Librarian stands up your first questions and KPIs before you connect any data source.
Add Salesforce, Postgres, Sheets, HubSpot, or files, and the Librarian models them automatically—building views, learning definitions and relationships, and suggesting new questions.
Anyone on the team asks in plain language and gets a trusted answer scoped to their role and permissions, all from one governed source of truth.
The Librarian learns from everything the team does—questions, views, KPIs, definitions, and conversations—making the Library sharper over time.
Credit-based subscription with four tiers, billed monthly or annually (20% savings on annual billing). One credit equals one meaningful AI interaction, such as asking a question; uploads, exports, dashboards viewing, and sharing are always free. A 14-day free trial is available with no credit card required.
$0/mo
Explore Querri with your own data, free forever: 15 credits/mo, 5 creator users, Fast AI model, 3 connectors, 50 MB storage with 7-day retention, full API access, and MCP access (works in Claude, etc). No credit card required.
$119/mo
For the individual analyst: 200 credits/mo, 5 creator users, Standard AI model, 10 connectors, 5 GB storage with 6-month retention, plus everything in Free.
$399/mo
For small teams sharing work and decisions: 750 credits/mo, 10 creator users, 20 connectors, 25 GB storage with 1-year retention, unlimited shared dashboards, 7-day audit logs, 99.9% uptime SLA, and priority email support.
Custom
For organizations needing scale, security, control and embedding: 10+ users, 2,000+ credits/mo, Smart AI model, unlimited connectors, 100 GB+ storage with unlimited retention, SSO/SCIM, row-level security, white-label embedding, 99.99% upti
Querri's Library stores your data and its AI agent, the Librarian, organizes it around the questions your teams ask—building views, KPIs, and business definitions automatically so anyone can ask a question and get a trusted, role-appropriate answer in seconds, with no engineering.
Plans are Free ($0/mo, 15 credits), Pro ($119/mo, 200 credits), Team ($399/mo, 750 credits), and Scale (custom, 2,000+ credits). Annual billing saves 20%. Pricing is credit-based: one credit equals one meaningful AI interaction, like asking a question. Viewing dashboards, browsing the Library, uploading files, exporting, and sharing consume no credits.
Yes, both. There's a free forever tier with 15 credits/month, 3 connectors, and full API access—no credit card required—and a 14-day free trial for paid tiers.
Querri supports Salesforce, PostgreSQL, Google Sheets, HubSpot, and other databases and files (including CSV uploads). The number of connectors scales by plan: 3 on Free, 10 on Pro, 20 on Team, and unlimited on Scale.
Yes. Querri offers MCP access on all tiers, including the free plan, so AI clients like Claude, ChatGPT, and Cursor can work against your Library. Querri also provides its own chat, dashboards, CLI, and API.
Data is private by default—personal uploads and analyses stay yours until you share them. Every answer, whether from a person or the AI, is built against the asker's own permissions at query time, with lineage traced back to the source. Querri is SOC 2 Type II certified with enterprise-grade encryption, monitoring, and access controls.
No. Querri's premise is the opposite of schema-first tools: it starts with your questions and organizes the data underneath to answer them. The Librarian performs the modeling a data team would build by hand, freeing engineers for higher-impact work.
HIPAA compliance (with a BAA) and data residency options (US, EU, APAC, LATAM) are available on the custom Scale tier, along with a dedicated instance, custom MSA/DPA, and SSO/SCIM.