The ZeroQueries Enterprise Product Architecture
The ZeroQueries product architecture comprises three foundational pillars: a conversational text-to-SQL engine with 99.4% join accuracy, a deterministic AST security parser enforcing 100% read-only operations, and an enterprise schema knowledge graph engine proven across 7,000+ tables without data movement.
Query connected production databases directly in plain English and Arabic with sub-second execution, zero ETL pipelines, and air-gapped security.
Three Core Pillars of ZeroQueries
Engineered for mathematical precision, deterministic security, and massive enterprise schema scale.
Conversational Text-to-SQL Analytics
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.
100% Read-Only AST Security Parser
Enterprise security teams reject conversational analytics when they rely on prompt engineering alone to stay safe. Prompts can be bypassed with jailbreaks or hallucinated syntax. ZeroQueries treats generated SQL as untrusted user input, compiling it into a strict AST that mathematically forbids any mutation or privilege escalation.
Schema Traversal at Enterprise Scale (7,000+ Tables)
Enterprise ERPs like SAP, Oracle E-Business Suite, and legacy banking cores contain thousands of tables with abbreviated column names and intricate foreign keys. Generic AI tools try to stuff entire schema dumps into prompts, causing context window failures and erroneous joins. ZeroQueries uses semantic graph traversal to dynamically select only the relevant tables.