Intelligent Document Automation & OCR Engine
An automated machine learning engine that ingests, parses, extracts, and validates structured data from complex unstructured enterprise documents.
Timeline
4 months
Team Size
6 engineers
Category
AI & ML
Key Features Delivered
Delivery Process
Document Type Analysis
Catalogued all document types, field schemas, and validation business rules.
Model Training & Evaluation
Fine-tuned NER models on company-specific document samples with annotated datasets.
Pipeline & Integration Build
Built end-to-end processing pipeline with ERP integration and review UI.
Production Validation
Parallel run with human operators, accuracy benchmarking, and go-live.
Project Outcomes
92%
Extraction accuracy
10x
Processing speed increase
75%
Reduction in manual entry
3 FTE
Equivalent savings achieved
Technology Stack
AI
Backend
Database
Infrastructure
Integrations
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