DataLang: Transform Your Data into Conversational Intelligence

DataLang is an AI-powered platform that enables users to create custom chatbots and interact with their databases using natural language. Designed for developers, data analysts, and businesses, it allows seamless querying of data sources—such as SQL databases, Google Sheets, Notion, and files—through conversational interfaces. With features like "Chat with your Database," "Database to API," and "Publish a Custom GPT," DataLang bridges the gap between technical data and non-technical users, making data accessible and actionable. The platform supports multiple deployment options, including public URLs, website embeds, API access, and integration with the ChatGPT Store.

Key Features:

• Chat with Your Database: Ask natural language questions and receive answers, SQL queries, and database rows.
• Database to API: Convert your database into a RESTful API for programmatic access.
• Custom GPT Publishing: Create and publish custom GPTs trained on your data.
• Multiple Data Sources: Supports files (PDF, TXT, JSON, DOC, MD, HTML), SQL databases (PostgreSQL, MySQL, Snowflake, SQL Server, etc.), Google Sheets, Notion, HubSpot, websites, APIs, and DSN with ODBC.
• Deployment Options: Share chatbots via public URL, embed in websites, deploy to the ChatGPT Store, or access via API.
• User and Credit Management: Scalable plans with user limits, data source limits, and credit tiers.
• Self-Hosted Option: Available for enterprise users starting at $20k/year.

Pricing: DataLang offers a Free tier and paid plans including Basic ($19/month), Pro ($49/month), and Business ($399/month), with a self-hosted option at $20k/year. The Free plan includes 1 user, 1 data source, and 100 credits.

Conclusion: DataLang is a powerful and versatile tool that empowers users to turn their data into intelligent, conversational assistants, enhancing productivity and democratizing access to database insights.