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Nabla-X Query Intelligence

Ask. Analyze. Understand.

The AI Analytics Copilot that transforms natural language questions into instant insights, SQL queries, and visual analytics.

Natural Language Query
"Show monthly revenue trends for Q3 with anomaly detection"
Generated SQL
SELECT
  month,
  SUM(revenue) as total
FROM sales
WHERE quarter = 3
GROUP BY month
Insights
  • ✓Revenue increased 12% in Q3
  • ⚠Anomaly detected in July

Core Capabilities

Natural Language to SQL

Convert plain English questions into optimized SQL queries. No coding required.

Instant Visualizations

Automatic chart generation and dashboard creation from your data queries.

AI-Powered Insights

Contextual analysis and recommendations based on your business metrics.

How Query Intelligence Works

Query Intelligence is a governed intelligence layer that converts natural language questions into decision-grade analytics — without compromising safety, correctness, or trust.

Queries are first interpreted for intent and analytical meaning. Intent is grounded against enterprise schemas, business definitions, and lineage before any execution is planned.

All queries are planned, validated, and risk-scored prior to execution. Execution is strictly controlled with read-only access, limits, timeouts, and full observability.

Results are returned with explainable context — including assumptions and exclusions — and learning occurs only through approved feedback.

Enterprise-Grade Intelligence

Technical Architecture

Multi-layer AI system combining natural language understanding, semantic reasoning, and secure execution for enterprise analytics

Input Layer

Natural Language

  • •NLU Engine
  • •Context Parser
  • •Intent Recognition
  • •Query Decomposition

Semantic Core

Meaning Construction

  • •Schema Intelligence
  • •Entity Resolution
  • •Relationship Mapping
  • •Logic Validation

Execution Layer

Query Generation

  • •SQL Synthesis
  • •Query Optimization
  • •Cost Estimation
  • •Sandboxed Execution

Trust Layer

Security & Compliance

  • •Permission Check
  • •Data Masking
  • •Audit Trail
  • •Result Verification
User Query
→
Semantic Parse
→
SQL Gen
→
Secure Exec
→
Results
Input
Process
Output

Sub-Second Response

Optimized query generation and execution with intelligent caching and parallel processing

Enterprise Security

Row-level security, data masking, and comprehensive audit trails for compliance

Multi-Model Intelligence

Ensemble of specialized LLMs optimized for SQL generation, validation, and explanation

REASONING & CONTROL BOUNDARY1. Intent CaptureReasoning, not text parsing2. Semantic GroundingSchema, lineage, glossary3. Query PlanningSafe before smart4. Controlled ExecutionLimits, timeouts, observabilityDATA SYSTEMS5. Explanation LayerMeaning, assumptions, exclusions6. Learning VaultOnly approved corrections

Built on Query Intelligence

2 extensions of the same engine

Each of these is Query Intelligence pointed at one kind of problem — same core, same audit trail, same deployment — tuned for a domain. They are in development with design partners and are not sold separately.

ClauseSense

Flags the clause. Keeps the paper trail.

Reads contracts against your playbook, redlines deviations, and logs who reviewed what.

LegacySense

Forty-year-old logic, explained in plain English.

Explains decades-old legacy code before anyone attempts a migration, and maps its dependencies.

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Applied intelligence for healthcare, finance, and research. Building AI that understands how complex systems move.

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Security & controlsAudit trail on every queryRuns air-gapped