camelai
camelAI is an AI agent platform that transforms natural language prompts into live applications and SQL‑free business insights. It unifies data querying, app deployment, scheduling, and integrations into a persistent, collaborative environment.
See it in Action
What it does
camelAI is a dual‑mode AI tool combining a natural‑language business intelligence (BI) assistant with a full‑stack AI coding agent.
On the BI side, it connects to databases (e.g., PostgreSQL, Snowflake, BigQuery) and lets users ask questions in plain English. It generates SQL queries, interactive visualizations, and written analysis in real time—avoiding traditional BI tools or manual queries, while preserving schema and security.
On the coding/agent side, camelAI offers a persistent “AI computer” that builds, deploys, and maintains full‑stack web apps, dashboards, internal tools, or automated workflows (cron jobs) from simple descriptions. It integrates with 50+ services (e.g., Stripe, Slack, HubSpot), deploys via Cloudflare Workers with zero cold starts, and keeps project state and memory across sessions in a workspace.
Key Features
- Natural‑Language SQL‑Free BI: Ask questions in English; generates SQL, visualizations, and text—eliminates learning curve of SQL/BI tools.
- Persistent AI Agent Computer: Maintains code, database, state, and memory across sessions—allowing iterative development and context awareness.
- Instant App Deployment: Builds full‑stack apps and deploys live URLs automatically—no DevOps or deploy pipeline required.
- Rich Integrations & Scheduled Automation: Pre‑built connectors to 50+ services and cron job support enable integration, reporting, alerts, and workflows.
- Secure, Team‑Friendly Workspaces: Role‑based access, row‑level security, SOC 2 compliance, and self‑hosting options support enterprise and collaborative use.
Who it is for
- Data Teams & Business Analysts: Can query data in natural language, explore insights, and build dynamic dashboards without SQL or BI tools.
- Product and Ops Teams: Describe internal tools or dashboards (e.g., admin panels, revenue monitors) and get production‑ready apps instantly.
- Engineering Teams: Use as a low‑friction layer to build prototypes, internal dashboards, or automation without configuring CI/CD.
- Cross‑Functional Teams: Enable non‑technical team members to describe needs and generate tools collaboratively, with shared context and memory.
How it works
- User signs up and selects a plan; free tier exists and paid tiers include credits or bring‑your‑own‑API options.
- Connects a data source (e.g., Postgres, Snowflake, CSV) with encrypted credentials.
- Starts typing a natural language prompt (“Show monthly revenue from Stripe”); camelAI generates SQL, executes it live, and returns charts with text analysis.
- Or describe an app (“Build admin panel connected to Postgres with search/edit”); camelAI generates full‑stack code, deploys it via Cloudflare Workers, and provides a live URL.
- Users can iterate: tweak UI or prompts, modify features; camelAI retains workspace memory, code, project state.
- Set up scheduled tasks (cron jobs) to run agents automatically—e.g., daily reports, anomaly alerts, data syncs.
- Collaborate: teammates share workspace, chat in context, and agent recognizes authors and history.
Pros
- Reduces barriers: no SQL or DevOps knowledge is necessary.
- Persistent state and memory enables efficient iteration and continuity.
- Wide integration ecosystem supports real‑world workflows across tools.
- Enterprise‑grade security with SOC 2, RLS, self‑hosting, and encrypted storage.
Cons
- BI insights depend on generated SQL correctness; complex schemas may require refinement or expert oversight.
- Not open‑source—agent workflows and code may require vetting before production use.
- Monthly credits may expire if unused and managing API usage vs. credits adds billing complexity.
Pricing Overview
camelAI uses a tiered subscription model for platform access plus separate usage billing for AI model execution.
Subscriptions: Free forever tier; Starter for solo users; Pro for power users; Team at seat‑based pricing; Enterprise with custom features like SSO, BYOC, HIPAA/SOC 2 integration. (All offer a trial period.)
Model usage is billed via prepaid camelAI credits bundled in paid plans with roll‑over only for top‑ups, or optionally via bring‑your‑own‑API key. This hybrid design balances platform access vs per‑use cost control.
Frequently Asked Questions
Can I connect camelAI to my own database?
Yes. camelAI supports common databases (e.g., PostgreSQL, Snowflake, BigQuery) via encrypted connections. Credentials are stored securely and queries run in real time.
Can non‑technical team members use camelAI for insights?
Yes. Users can ask questions in natural language and receive charts and explanations without writing SQL. The interface supports iterative conversational analysis.
How does camelAI deploy applications?
When you describe an app, camelAI generates full‑stack code and deploys it instantly via Cloudflare Workers. You receive a live URL with no DevOps setup required.
What happens if I run out of model credits?
Paid plans include monthly credits for model usage, which don’t roll over—but you can top up credits anytime. Alternatively, you can bring your own API key and pay the provider directly.
Can my team collaborate and share workspaces?
Yes. Team plans enable multiple workspaces, role‑based access, shared chat with memory of who said what, and persistent workspace state for all collaborators.