DataLang

DataLang bridges the gap between your data and conversational AI by enabling you to build custom GPT assistants directly from your databases. Instead of manually integrating data sources, you connect your database, define SQL views for specific data queries, and let the platform handle the rest. This eliminates the need for complex API development or custom integrations, making AI-powered data access accessible to non-technical users. The platform streamlines the assistant creation process into five straightforward steps: connect your data source, configure views through SQL scripts, customize your GPT's behavior and knowledge base, interact with the built-in chat interface, and publish or share your creation. This workflow reduces development time significantly compared to traditional chatbot builders, allowing teams to deploy functional AI assistants in hours rather than weeks. DataLang supports publishing your custom GPT directly to the ChatGPT store or sharing it privately within your organization. This flexibility caters to different use cases, whether you're building internal knowledge bases for employees, customer-facing Q&A systems, or specialized data query tools. The assistant learns from your specific data structure and content, ensuring responses are grounded in your actual database rather than general knowledge.