Enterprise Document Intelligence
CommodityAI provides automated document processing infrastructure for organizations managing high-volume, complex document workflows. The platform leverages machine learning to classify, segment, and extract structured data from unstructured documents—eliminating manual data entry and reducing processing time from hours to seconds. Built for enterprise integration, CommodityAI offers a secure REST API, configurable extraction schemas, and audit-ready data lineage tracking.Documentation
Platform Overview
Architecture, capabilities, and deployment considerations
API Reference
Authentication, endpoints, and integration specifications
Core Capabilities
| Capability | Description |
|---|---|
| Document Classification | ML-powered automatic categorization across document types |
| Intelligent Splitting | Logical segmentation of multi-document files into discrete sources |
| Schema-Based Extraction | Configurable field mapping to your data models |
| Custom Objects | Flexible entity types for domain-specific data structures |
| API-First Architecture | Full programmatic access to all platform functions |
Processing Pipeline
Documents flow through a deterministic multi-stage pipeline:- Ingestion — Files uploaded via web interface or batch import
- Classification — AI identifies document type and structure
- Segmentation — Multi-page documents split into logical units
- Extraction — Structured data generated per configured schema
- Access — Records available via REST API as source records or custom objects