Overview

SATIF is an AI toolkit for simplifying and automating the transformation of ANY input files into ANY output files.

Core Architecture

SATIF utilizes a two-layer architecture:

1. Standardization Layer: Ingests heterogeneous source files (CSV, Excel, PDF, XML, etc.) and transforms them into SDIF, a structured intermediate format.
2. Transformation Layer: Applies business logic to the standardized data to generate the target output files, with transformation code either written manually or generated by AI.

SDIF: The Intermediate Format

SDIF (Stantardized Data Interoperable Format) is the standardized SQLite representation that:

• Stores a Datasource as structured tables alongside JSON objects and binary media
• Maintains rich metadata about data origins, structure, and relationships
• Provides direct SQL queryability for complex transformations
• Creates a consistent interface between standardization and transformation

Workflow

1. BUILD: Generate transformation code via AI based on example inputs/outputs and instructions
2. RUN: Execute the full pipeline (standardization → transformation) on new inputs
3. REFINE: Iteratively improve the pipeline through feedback and error handling

SATIF eliminates the need to write custom parsing logic, letting you focus on your business transformation requirements.

Key Capabilities

• Any Format Support: Process virtually any input, even challenging unstructured content (PDFs, complex Excel sheets)
• AI-Powered Code Generation: Automatically generate transformation code from examples and natural language instructions
• Robust Schema Enforcement: Handle input data drift and schema inconsistencies through configurable validation
• SQL-Based Data Processing: Query and manipulate all data using SQL
• Decoupled Processing Stages: Standardize once, transform many times with different logic