DataLang

About DataLang

DataLang is a groundbreaking platform designed to help users build custom chatbots from diverse data sources. It caters to businesses, developers, and data analysts who seek to streamline data interaction. With an intuitive interface, DataLang simplifies queries, allowing users to efficiently communicate with their data.

DataLang offers four tailored pricing plans to accommodate organizations of all sizes. The Free plan provides basic functionality, while the Basic, Pro, and Business tiers enhance user capabilities with more data sources, credits, and priority support. Upgrading unlocks advanced features and greater access to AI tools.

The user interface of DataLang is designed for simplicity and efficiency, ensuring an optimal browsing experience. Its clean layout facilitates smooth navigation through features like chatbot setup and data source integration. This user-centric design, coupled with innovative tools, makes DataLang an invaluable resource for data engagement.

How DataLang works

Users begin their DataLang experience by selecting and configuring data sources, such as databases and files. After setting up a data view, they can then train a chatbot using the selected data. This user-friendly process allows for real-time interaction with data and sharing of insights through various platforms.

Key Features for DataLang

Custom Chatbot Creation

The custom chatbot creation feature of DataLang revolutionizes how users interact with data. By connecting various sources like Google Sheets and Notion, users can easily configure chatbots that answer queries, providing immediate responses and insights, thus streamlining data retrieval processes.

Multi-Source Integration

DataLang excels at multi-source integration, allowing users to connect numerous data platforms seamlessly. This feature empowers users to pull information from various databases and files, ensuring that their chatbots are informed and capable of responding accurately, addressing their data needs efficiently.

Flexible Sharing Options

Flexible sharing options distinguish DataLang in the marketplace, as users can publish chatbots through a public URL, embed them on websites, or share via API. This versatility ensures that data insights and conversational capabilities can reach the intended audience easily and effectively.