Natural Language to SQL
Ask your database in plain English — the AI agent handles the rest.
The Problem
Standard reporting dashboards only show what someone explicitly built into them. But every ERP database holds answers to dozens of questions no dashboard covers — deviations, trends, outliers. Accessing that data today requires SQL skills or a developer. That costs time, creates dependencies, and is error-prone.
How it works
Ask a question
You ask a question in plain language — no SQL syntax needed.
AI generates SQL
The agent understands the semantics of your system — e.g. what JTL tables mean — and generates a precise SQL query from your question.
Instant result
The query runs directly on your database. The result comes back structured and readable — no exports, no detours.
Semantic connectors
The system is equipped with system-specific context — such as the meaning of JTL tables and fields. This produces precise, correct queries.
Plain language
No SQL knowledge required. Questions like "Which items had the most returns this month?" are understood directly.
Your own database
Queries run on your local or hosted database. No data permanently leaves your infrastructure.
GDPR-compliant
Hosted in Germany. The model does not store database data — only the query itself is processed contextually.
Connector platform
The architecture is designed as an agentic platform with pluggable connectors. The first connector is JTL Warehouse Management. Further systems — such as Odoo, or custom databases — are planned.
Interested in early access?
The product is in active development. If you want to test the concept in your JTL environment or are interested in getting early access, reach out to us.