camelAI is a chat-based analytics platform that answers business questions with live database connections and team-friendly collaboration.
camelAI connects directly to production databases and warehouses, then lets the whole team ask questions in natural language and get SQL-backed answers with charts. Unlike file-upload analyzers, queries run against live data, so results reflect the current state of the business. Every answer shows the generated SQL, making it auditable, and useful queries can be pinned into shared dashboards or scheduled reports. The product grew out of the wave of “ChatGPT for data” tools but focuses on the collaboration and trust layer: permissions by data source, shared threads, and answers that survive scrutiny.
Data teams connect read-only database credentials, curate which schemas each group can query, and let colleagues ask questions in chat. Every answer ships with the generated SQL, so analysts can audit and correct the logic, and good queries get pinned into shared dashboards that refresh live. Scheduled reports push Monday-morning metrics automatically, which removes the recurring manual export work that usually falls on analysts.
camelAI offers a free tier with a weekly query allowance, an individual plan around $25/month and team plans priced per user with expanded connections and collaboration features. Enterprise deployments with SSO and custom security review are quoted individually.
It serves product, growth and operations teams that want self-service answers from live data without queueing behind analysts, plus data teams looking to expose governed query access to the rest of the company.
Yes, a limited free tier allows a small number of queries per week; paid plans unlock higher volume and team features.
camelAI focuses on its chat and dashboard product; programmatic access is offered to team and enterprise customers on request.
Its live-database approach distinguishes it from file-based tools like Julius AI, while its conversational UX is lighter-weight than full BI suites such as Tableau or Power BI.
No — connections are read-only by design, so exploratory questions can never modify production data; writes remain exclusively in your own systems.
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