Ask Your Database.
In Plain English.
QueryInsight is the enterprise AI analytics platform that converts natural language into secure, audited SQL. Connect instantly and stop waiting on data engineering pipelines.
FROM enterprise_sales_records
WHERE invoice_date >= '2026-10-01'
GROUP BY customer_name
ORDER BY revenue DESC LIMIT 5;
Why We Built QueryInsight
The BI Bottleneck
Business analysts and marketing teams wait days or weeks for data engineers to write custom SQL reports. Attempting to use generic cloud LLMs usually risks leaking highly sensitive corporate schemas and customer payloads to third parties for model training.
Instant & Secure Answers
QueryInsight eliminates the engineering bottleneck by giving non-technical teams an instant, self-service natural language interface. Built on a strict zero-retention architecture, we guarantee data privacy and regulatory compliance.
Built For The Enterprise
QueryInsight eliminates data bottlenecks while adhering to strict institutional compliance, sovereignty, and privacy requirements.
Secure Text-to-SQL Inference
Powered by an advanced state-of-the-art LLM. The completely secure NLP translation process strictly prevents your corporate schemas or data payloads from being used for AI training.
System Governance & RBAC
Fine-grained Role-Based Access Control completely isolates administrators, data analysts, and generalized viewers.
Cryptographic Audit Chain
Every SQL query executed by the engine is SHA-256 hashed and mathematically linked, forming a non-repudiable compliance ledger.
Intelligent Query Caching
Backed by Redis, identical data inquiries across your team are served instantly from memory, shielding your production database from load spikes.
RDBMS & SQL Frameworks
Engineered entirely for mature relational database architectures. We fully support PostgreSQL, MySQL, and SQLite.
Autonomous Visualizations
Stop configuring dashboards. The engine analyzes your postgres payload and automatically returns perfectly calibrated Plotly charts.
SQL Injection Firewall
Security is not an afterthought. Built into the core of the NaturalQuery runtime is a regex-based execution firewall.
# 1. Validate Security Firewall
is_safe, err = validate_sql_safety(generated_sql)
if not is_safe:
return None, err
# 2. Verify Cosine Similarity inside RAG memory
confidence_score = find_similar_query(q_hash)
if confidence_score > 0.90:
return cached_gold_standard_sql
# 3. Log query execution to SHA-256 ledger
log_system_event(db, query, status="SUCCESS")Reclaim Your Analytics Pipeline
Stop your team from writing custom SQL. Join the beta to test our query engine today.