camelAI
Also known as: CamelAI
AI data analyst turned AI software engineer that chats with your data, writes and deploys code, and runs scheduled autonomous agents from its own persistent computer.
camelAI began as an AI data analyst that lets non technical teams chat with their data in plain English and has grown into an AI software engineer with its own persistent computer. It acts as a deep research agent that explores a database iteratively, writes and refines multiple SQL queries behind the scenes, and returns interactive Plotly visualizations with written analysis, saved to dashboards that refresh automatically. Beyond analytics it now writes real code, connects to 50+ tools, and deploys to a live URL from a single conversation, and it can run scheduled autonomous agents (no human in the loop) such as a monitoring agent that checks Stripe metrics hourly and flags anomalies to Slack, or a background worker that reconciles a CRM and database around the clock. A knowledge base and reference query system let teams encode domain terminology, metric definitions, and table relationships for consistent, correct answers. It is CASA certified and pursuing SOC 2, encrypts data in transit and at rest, does not train on customer data, supports row level security, and offers VPC, on premises, and self hosted deployment, plus a REST API and iframe for embedding analytics into a SaaS product.
Vendor details
Canonical URL
https://camelai.com
Category
Data analyst agent
Funding status
Independent. Founding team previously shipped several products together. Specific funding figures were not retrieved this session.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Connects to 50+ tools and data sources out of the box, including PostgreSQL, MySQL, ClickHouse, DuckDB, BigQuery, Snowflake, Supabase, MongoDB, plus Stripe, HubSpot, Salesforce, Notion, and GitHub. Talk to the agent via chat, its own workspace email address, or Slack.
Sources & related URLs
Research sources
Capability coverage
11.5 / 14 capabilities · 82%
| Integrations & Tool CallingConnects to 50+ tools and data sources out of the box, including PostgreSQL, MySQL, ClickHouse, DuckDB, BigQuery, Snowflake, Supabase, and MongoDB plus Stripe, HubSpot, Salesforce, Notion, and GitHub. | Full |
|---|---|
| Workflow OrchestrationActs as a deep research agent using multiple Claude Sonnet worker agents that autonomously execute and refine multiple queries, and can run scheduled autonomous agents, monitoring agents, and background workers that build, deploy, and sync systems around the clock. | Full |
| Knowledge Grounding & RAGA knowledge base and reference query system let teams define domain terminology, metric definitions, table relationships, and formatting preferences, and give the model explicit SQL patterns, anchoring answers in the customer's data and semantics for consistent, correct output. | Full |
| Human Oversight & GuardrailsInteractive use invites users to review results, verify insights, and inspect the agent's transparent thought process and exact SQL, but scheduled agents are designed to run with no human in the loop and no formal approval or guardrail construct is documented. | Partial |
| Security, Identity & GovernanceCASA certified and pursuing SOC 2, with AES-256 at rest, TLS 1.3 in transit, AWS KMS, encrypted database credentials, no training on customer data, row level security, and VPC, on premises, and self hosted deployment options. | Full |
| Observability & AuditabilityEvery query is transparent and logged with a description and the exact SQL used, the agent's reasoning or thought process is shown, and users can watch it write SQL in real time and manage saved artifacts. | Full |
| Memory & State PersistenceThe agent runs on its own persistent computer and remembers everything, conversation history persists across sessions, and the knowledge base retains company context, with stateful API support. | Full |
| Deployment & Data ResidencyOffers cloud SaaS on AWS plus VPC, on premises, and self hosted deployment for enterprise customers, with row level security so users only see authorized data. | Full |
| Prebuilt Agents / Templates / PacksProvides pre-loaded datasets, recommended queries, reference query patterns, and example agents such as monitoring and reporting workers, but not a broad catalog of prebuilt agents or packs. | Partial |
| Triggers & Channel CoverageAgents can be scheduled to run tasks autonomously, monitor metrics (for example checking Stripe hourly), respond to webhook events, and run as around the clock background workers, and are reachable across chat, a per workspace email address, and Slack. | Full |
| Model Flexibility & RoutingUses both OpenAI and Anthropic APIs internally, running multiple Claude Sonnet worker agents and compiling with an OpenAI reasoning model, indicating multi provider routing, though customer facing model selection is not documented. | Partial |
| APIs / SDKs / MCP ExtensibilityExposes a REST API with stateful and stateless modes, an iframe for embedding analytics into a SaaS product, a developer console, and single endpoint text to SQL, so developers can integrate camelAI in minutes. | Full |
| Testing, Debugging & OptimizationThe agent iteratively refines its SQL queries based on results to converge on a correct answer, a form of self correction, but no formal agent evaluation or testing harness is documented. | Partial |
| Browser / Computer-usecamelAI operates its own persistent computer to write, run, and deploy code to a live URL, but whether it performs browser or GUI computer use versus code execution in its environment is not clearly documented. | Partial |
Pricing
Free tier available (start free, no SQL needed); self serve paid and enterprise tiers (self hosted, VPC) with pricing not retrieved this session.
seats and usage, plus enterprise self-hosted
Cost watchouts
Usage on larger data warehouses and heavier agent scheduling may raise cost; enterprise self hosted and VPC are quote based.
Variable cost rationale
Combines seats with query and agent run usage; cost grows with data volume and scheduled agent activity, though a free tier caps entry cost.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free to try; free tier available
Lowest paid plan
Not retrieved this session; free tier available
Key ambiguities
A free tier is clearly offered, but exact paid and enterprise tier prices were not retrieved from the pricing page this session.
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