It all started with a simple realization: large language models are powerful, but disconnected. While they can process and generate text with remarkable fluency, they lack direct access to real-world, data. The data that companies rely on customer records, product catalogs, internal reports remained locked away in databases, accessible only through complex queries and manual processes.

LunoDB was born from the need to seamlessly integrate internal data sources with LLM-driven applications. We wanted to make it effortless for developers to connect their systems, so AI could tap into the same knowledge humans rely on without complicated pipelines or custom-built integrations.

Along the way, we made security a priority. Row-level access controls ensure that only authorized users see what they’re meant to see, keeping sensitive information safe while enabling the full potential of AI-powered workflows.

LunoDB isn’t just a tool it’s a shift in how we think about data accessibility in AI. Whether it’s customers asking about their orders, employees retrieving insights, or entire businesses automating decision-making, LunoDB makes the impossible feel effortless.

And to think it all started with a simple question: Why can’t AI just talk to our data?