CamelAI

AI Data Analyst - Chat with your data

5.0•5 reviews•

304 followers

AI Data Analyst - Chat with your data

5.0•5 reviews•

304 followers

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AI Data Analysis & Business Intelligence. Ask questions in plain English and get instant insights, charts, and dashboards–no SQL needed. Connect to Supabase, PostgreSQL, MongoDB, BigQuery, ClickHouse, etc., or upload your CSV/Excel files for deep analysis.

This is the 2nd launch from CamelAI. View more

camelAI Embedded

Embed chat with your data in your product

Embed AI analytics chat in your product in minutes. camelAI API + iframe lets users chat with their data, get instant insights & charts. Connect any database. Start free.

Free Options

Launch tags:

API•Analytics•Artificial Intelligence

Launch Team / Built With

illiana reed

CamelAI

Maker

📌

After launching camelAI's web app, we heard one request over and over: "Can we embed this in our product?" So we built exactly that. The camelAI iframe brings the same AI-powered data analysis directly into your SaaS application so you don't have to build a chat interface from scratch or write an LLM-to-DB pipeline. Here's what makes it special: Your users get instant answers to data questions while you maintain complete control. With row-level security built in, each user only sees their data. The iframe adapts to your brand, handles the entire agent loop (query generation, visualization, iteration), and even learns your company's specific metrics through reference queries. We've seen companies spend months building "chat with your data" features. With our iframe, you can ship it in under 5 minutes. For companies struggling with custom data requests from customers, this turns a support burden into a competitive advantage. Your customers get self-serve analytics, your team gets their time back. We're really excited to get this in developers hands and would love any feedback.

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18d ago

Felipe Lucero

We've been working with CamelAI's wonderful team for over a month now. Integration of their embedded chat into our product took less than 15 minutes and It's data analysis model works extremely well. This has enabled our clients to "do magic" by themselves, no SQL knowledge required. Doing something like this in-house would have taken us months or even a full year! it's an amazing and powerful tool :D.

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15d ago

Miguel Salinas

CamelAI

Maker

@felipe_lucero Thanks Felipe! We love working with you and the whole Anastasia AI team. You’ve had a huge impact in shaping CamelAI. Having amazing early customers like you is one of the best things a startup could ask for.

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15d ago

Isabella Reed

CamelAI

Maker

@felipe_lucero THANK YOU SO MUCH for this review. What a powerful example of the value that you've realized from using our iframe. Your team is one of our favorites - not that we have any favorite customers :)

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15d ago

Paul Sobiecki

Gee, what a great logo! Congrats on the launch!

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16d ago

Isabella Reed

CamelAI

Maker

@heypaus We built the logo ourselves! His name is qwaml the camel. LONG STORY about how he got his name, lol. Thank you for your support Paul!

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15d ago

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CamelAI Launches

camelAI Embedded Embed chat with your data in your product

Launched on July 25th, 2025

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5.0

Based on 5 reviews

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Reviews

Helpful

Juan Roberto Honorato

•1 review

As early adopters, we integrated CamelAI into anastasia.ai and immediately saw traction shift. Its iframe-based integration enabled a full multitenant RLS architecture in production in under a week, freeing us from custom BI engineering and accelerating time‑to‑value. What truly sets CamelAI apart is its knowledge base and reference-query system. The platform allows us to define our own domain terminology, metric definitions, table relationships, and formatting preferences in a knowledge base, ensuring consistent interpretations across queries. Meanwhile, reference queries give the model explicit SQL patterns and example metrics, anchoring responses in precise, repeatable logic. This combination not only standardizes tone and personality, but dramatically improves data output correctness—a critical factor in building trust with our customers. After tuning these features, the accuracy of CamelAI’s insights improved noticeably, reducing manual review cycles. Once live, our users got context-aware, accurate answers directly in the product. Engagement and conversion rose quickly, without a corresponding rise in support overhead or infrastructure work. In summary, CamelAI delivers secure, scalable embedded AI analytics with enterprise-grade accuracy. The customizable knowledge base and reference-query features are not optional bells and whistles—they’re essential for any SaaS team that cares about data fidelity. For anyone building tenant-aware, trustworthy analytics, CamelAI is a standout choice.

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15d ago

autumn qiu

•1 review

user-friendly interface

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16d ago

Sophia Tremblay

•13 reviews

CamelAI is a game-changer for data analysis and business intelligence. Its intuitive interface allows you to ask questions in plain English and instantly get insights, charts, and dashboards—no SQL or coding required. The platform supports seamless connections to popular databases like Supabase, PostgreSQL, MongoDB, BigQuery, and ClickHouse, and even works with CSV or Excel uploads for quick analysis. What makes CamelAI stand out is its speed and accuracy in generating actionable insights, making it ideal for teams that want to democratize data without hiring dedicated analysts. Whether you’re a startup or an enterprise, CamelAI brings simplicity and power to your analytics workflow.

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15d ago

Juan Roberto Honorato

•1 review

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15d ago

autumn qiu

•1 review

user-friendly interface

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16d ago

Sophia Tremblay

•13 reviews

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15d ago