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Natural Language SQL Analytics

Ask your data a question. Get a chart back in seconds.

Business teams depend on analysts or engineers for even simple data questions โ€” "what were our top products last month?" โ€” creating delays and bottlenecks that slow down decisions.

A natural-language analytics platform: ask a question in plain English, the system generates SQL with a confidence score, executes it, and streams back a chart and summary in seconds.

View the source โ€” Text2Insight on GitHub

View Source โ†—

User Question -> LLM SQL Generation (confidence-scored) -> DuckDB Execution -> Chart + Summary (streamed via SSE)

๐Ÿ“Š Text2Insight โ€” Natural Language Analytics Platform Full Problem โ†’ Solution โ†’ Architecture โ†’ Results breakdown
Read Case Study โ†’
Query Response Time
3-8 sec
SQL Generation Accuracy
~90%+ on standard queries
Manual Analysis Time
15-30 min โ†’ Seconds

Self-reported from my own testing, not a third-party audit.

AI Starter $299

For simple business AI implementations โ€” chatbot, FAQ assistant, basic knowledge base.

AI Automation $800

Workflow automation, AI agent, API/Telegram/email integrations.

Custom AI System Custom

For larger or more complex requirements โ€” scoped on a call.

Directional, not a fixed quote โ€” real scope depends on your data and integrations.

How accurate is the generated SQL?

Around 90%+ on standard queries in my own testing โ€” self-reported, not a third-party audit. Complex multi-table joins are harder than simple aggregations, which is why every query gets a confidence score, not a blind execute.

Does it work with my existing database?

Built on DuckDB for the reference implementation, but the same NL2SQL pattern adapts to Postgres, MySQL, or a CSV/warehouse export depending on where your data actually lives.

Can it explain results, not just show a chart?

Yes โ€” the system streams back a chart and a plain-English summary together, so you get the "what happened" alongside the "why it matters."

Have a Natural Language SQL Analytics problem?

Tell me what you're trying to solve โ€” I'll tell you honestly whether this is the right fit.