Hello everyone,

We were developing another product and promised our users AI features. The classic "we'll add AI" move. But we had no idea what would actually be useful. Dashboard insights? Automated reports? Predictive analytics?

Then it clicked. Instead of deciding for them, let them query their own data. Natural language to SQL. They know what insights they need better than we do.

Our existing clients also asked if we can have some AI integration for them. We run a software services company, so these requests kept coming. "AI integration" meant different things to everyone. Now we had something concrete to start the conversation.

So we split it out. Different tech stack, different product, same core idea.

Here's LILA. An AI assistant that talks to your database in natural language. Text to SQL without writing SQL. Your data stays private, processed on our infrastructure, not routed through third party AI.

What makes LILA different:

Privacy by Design: Your data is processed on our own dedicated infrastructure. No routing through third-party AI services.
BYOK (Bring Your Own Key): Want to use your own enterprise OpenAI or Gemini account? Connect it and we'll double your query limit. We process the logic; you control the API provider.
Self-Healing SQL: If the first query fails, LILA learns from the error and retries automatically. You just see the correct answer.
Agency-First: We built a White-Label mode because we know what it's like to want to ship AI under your own brand.

Documentation search is next on the roadmap. But we have a lot more planned, and I hope those new features will be quite useful edgecases.

Would love your feedback, especially from folks who've tried other business intelligence tools or database AI. What worked? What frustrated you?