DataLang is a platform that enables users to chat with their databases in real-time and gain smart, real-time insights. It provides a simple and efficient way to connect data sources, set up data views, configure a GPT assistant, and publish a custom GPT in the ChatGPT store.

With DataLang, users can easily expose a specific set of data using SQL language to train GPT and then chat with it in natural language. The platform also enables users to automatically make SQL views available through APIs and chat with their real-time data in natural language.

DataLang offers a range of data sources for users to explore, including custom servers, PostgreSQL, MySQL, Snowflake, and files such as PDF, CSV, and TXT. The platform offers four simple steps to use the service, including setting up a database, adding a data view, chatting with a GPT assistant, and creating a custom GPT.

The pricing plans are designed to suit organizations of all sizes, with a free trial plan for creating a simple chatbot with a database. Other plans include Starter, Pro, and Business, with varying features such as the number of users, data sources, data views, credits, and support.

DataLang also offers GPT assistants, which users can customize to chat with their data and gain deep insights with their databases. Users can configure a GPT to share it with their customers and clients. Additionally, users can subscribe to the newsletter to stay updated on product updates and new features.

Overall, DataLang is a powerful platform for dynamic data analysis with databases that can help users gain real-time insights and improve their data analysis capabilities.