We Promised AI With No Idea What It Meant
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? The possibilities were endless and equally vague.
We could have picked something and hoped it stuck. Instead, we kept asking: what do our users actually need?
The Click: Let Users Ask Their Database Questions Directly
Instead of deciding for them, let them query their own data.
Text to SQL. Natural language to database queries. They know what insights they need better than we do.
The marketing manager asking “how did last week’s campaign perform” knows exactly what she needs. The support lead asking “show me this customer’s order history” knows his context. The founder asking “which products are selling fastest” knows her priorities.
We don’t need to predict their questions. We need to let them ask their database in plain English.
Our Clients Kept Asking for “AI Integration”
We run AALA, a software services company. We’ve built custom solutions for clients across e-commerce, logistics, healthcare, and finance for years.
These clients started asking for “AI integration.” But it meant different things to everyone. One wanted chatbots. Another wanted automated tagging. A third wanted predictive inventory.
When we showed them natural language database queries, the conversation changed. Chat with your database. Ask questions without writing SQL. Suddenly “AI integration” had a concrete definition. Suddenly every client saw the same value.
Building an AI Database Assistant as Its Own Product
Different tech stack. Different product. Same core idea.
LILA became its own thing. Purpose-built for one job: an AI assistant that lets anyone query databases without SQL.
We kept it focused:
- Connect your PostgreSQL, MySQL, MariaDB, or MSSQL database
- Add your business context
- Embed the chat widget
- Start asking questions in plain English
No bloated feature set. No enterprise-only pricing. No six-month implementations. Just text-to-SQL that works.
What Makes This Different From Other Database Query Tools
Privacy by design. Your data is processed on our own dedicated infrastructure. No routing through third-party AI services unless you choose to.
BYOK (Bring Your Own Key). Want to use your own OpenAI or Gemini account? Connect it and we double your query limit. You control the AI provider.
Self-healing SQL. If the first query fails, LILA learns from the error and retries automatically. You see the correct answer, not the debugging process.
Agency-first. White-label mode because we know what it’s like to want to ship AI under your own brand. Your logo, your colors, your clients never see us.
The Name
LILA: Lila Interactive Live Assistant.
A recursive acronym, because we like a bit of personality in our tech.
Interactive because you can ask follow-up questions, refine your query, explore the data. Live because answers come instantly, not in batch reports. Assistant because it works for you, in your context, understanding your business.
What’s Next for No-Code Database Access
Documentation search is next on the roadmap. Ask questions about your docs, not just your database.
But we have more planned. Features for edge cases we’ve encountered across dozens of client implementations. Problems we’ve seen repeatedly that deserve proper solutions.
The goal stays the same: let anyone talk to their data without learning SQL.
We’re just getting started.
Ready to ask your database a question in plain English? Try LILA free