Turn Natural Language into Verified SQL Analytics in Seconds
Ask complex business questions in plain English or Arabic and receive verified, deterministic SQL execution in seconds.
What is Conversational Text-to-SQL Analytics and how does it work?
ZeroQueries Text-to-SQL is an enterprise conversational analytics engine that translates plain-language business queries into syntax-verified SQL executed directly against relational databases with zero data movement.
Traditional business intelligence forces non-technical stakeholders to wait days for report tickets while data teams write repetitive SQL joins. ZeroQueries empowers business users, finance leaders, and product teams to query PostgreSQL, MySQL, Oracle, Snowflake, and MongoDB in conversational language without risk of hallucination.
Core Capabilities of the Text-to-SQL Engine
Engineered specifically for enterprise data integrity, deterministic correctness, and zero hallucination risk.
Deterministic Schema Resolution
ZeroQueries traverses your schema catalog, resolves foreign-key relationships, and constructs mathematically validated joins across multiple tables without LLM guesswork.
SELECT c.name, SUM(o.total_amount) FROM customers c JOIN orders o ON c.id = o.customer_id GROUP BY c.name;Native Bidirectional Arabic NLP
Understands GCC corporate tax, ZATCA e-invoicing concepts, fiscal calendars, and regional business idioms natively without loss of nuance or machine translation distortion.
Automated Interactive Chart Generation
Outputs are not just raw table rows; ZeroQueries automatically selects optimal visualizations (bar charts, time-series, KPI cards) with one-click Excel and CSV exports.
How Text-to-SQL Querying Works
Ask in Natural Language
Type your query: 'Show me total revenue by region for Q3 compared to last year'.
Semantic Schema Graph Pruning
ZeroQueries identifies exact target tables, columns, and foreign keys while ignoring unrelated tables.
Read-Only AST Validation
The deterministic parser proves the query is 100% read-only before sending it to the database.
Instant Visual Insight
Data is rendered as an interactive table, chart, and exportable report directly in your browser.
ZeroQueries vs. Traditional BI & Generic AI
| Capability | Traditional BI / LLM Wrappers | ZeroQueries Enterprise |
|---|---|---|
| Time to First Answer | 3 to 5 days (ticket backlog) | Under 5 seconds (instant) |
| Data Movement | Requires ETL pipeline sync | Zero data movement (in-place) |
| Schema Size Limit | Crashes past 150-200 tables | 7,000+ tables / 125,000+ columns |
| Database Mutation Risk | Prone to prompt injection & rogue queries | Mathematically blocked (100% read-only AST) |
Direct Technical Answers
How does ZeroQueries Text-to-SQL prevent SQL injection and hallucinated tables?
ZeroQueries never executes raw text from an LLM directly. Generated SQL passes through a proprietary Abstract Syntax Tree (AST) parser that validates column existence against your catalog, rejects all mutation keywords (DROP, DELETE, UPDATE, INSERT), and enforces strict parameterized execution.
Does ZeroQueries train AI models on my confidential company data?
No. ZeroQueries operates under a zero-retention policy. Your row-level records never leave your database environment, and metadata is never used for foundation model training.
Ready to Experience ZeroQueries in Your Stack?
Connect with our solutions architects to configure a personalized walkthrough directly against your relational databases.