JarvisX Capabilities
Discover our supported stacks, dialect conversion coverage, and the 13-layer quality validation system across all 7 platform modules.
JarvisX means Trust & Value
We do not just wrap AI APIs and call it code conversion. Every artifact passes through a 13-layer quality engine — from deterministic rewrites and dialect-specific cards to syntax validation and auto-repair. With 91 pair-specific conversion cards, 20 deterministic rewrite rules, and sqlglot-powered syntax validation across 16 dialects, JarvisX delivers conversion quality that is genuinely above market: deterministic transpile first, AI prompting only where needed, with per-artifact confidence scores so review tracks risk.
Conversion Modules
Powering enterprise databases, pipelines, risk auditing, and synthetic data generation.
JarvisQuery
SQL Conversion
61 pair-specific cards with function-level mappings. Converts complex SQL statements, procedural blocks, and analytical functions with deep semantic awareness.
JarvisFlow
Workflow / ETL Conversion
30 pair-specific cards with component-level mappings. Translates visual ETL pipelines and schedules into modern code-defined orchestrators.
JarvisCode
Script / Language Conversion
Cross-language conversion with framework awareness. Safely migrates custom business logic scripts, command-line utilities, and backend routines.
JarvisSchema
DDL Rewrite
Schema conversion with type mapping and constraint preservation. Automatically transforms physical model properties and constraints.
JarvisRisk
Migration Risk Assessment
Source-first risk analysis with optional gap analysis. Identifies migration blockers and calculates complexity scores before writing code.
JarvisGraph
Lineage & Impact
Visual lineage with risk overlay. Maps dependencies across tables, schemas, jobs, and individual queries.
JarvisData
Synthetic Test Data Generation
AI-powered sample data generation directly from your DDL definitions. Supports BigQuery, Snowflake, Databricks, and PostgreSQL targets. Configures basic, realistic, and AI-enhanced distributions (1K, 10K, or 100K rows per table) for offline workflow verification.
13-Layer Quality Engine
Every conversion runs through these deterministic and adaptive checks to guarantee code safety.
sqlglot deterministic transpilation
16 dialects supported natively
Pre-LLM deterministic rewrites
20 strict transformation rules
Complexity-adaptive prompting
Saves LLM tokens & ensures high fidelity
Feature detection + micro-cards
Context isolation per code segment
91 pair-specific conversion cards
Deep function-level translation recipes
RAG retrieval (HyDE + RRF reranking)
Matches semantic search patterns
LLM conversion (Advanced AI Agent)
Validates structure and flow
Post-LLM deterministic rewrites
Applies post-processing schema mappings
Syntax validation (sqlglot)
Validates AST parser compliance
Category-specific validation
Validates query structures and data models
Auto-repair (single-pass LLM fix)
Detects execution plan syntax failures
Semantic scoring (sampled)
Scores logical parity across loops
Confidence scoring + review flags
Surfaces high-risk scripts for human audit
Featured Conversion Pairs
Deepest functional mapping support. Other pairs execute via foundational rules + intelligent translation models.