
AI-powered document extraction, classification, and analysis - streamlining workflows and improving accuracy.
JET is an advanced AI-driven platform that converts unstructured content into structured, searchable, and meaningful data.
Built for enterprises that deal with high volumes of documents, JET automates data extraction, classification, summarization, and validation using a powerful combination of Machine Learning, NLP, and business-rule automation.
Whether deployed on-premise or on cloud, JET securely processes documents of any type including PDFs, images, scanned files, emails, and text; while ensuring accuracy, compliance, and business-ready output.

Supports both on-premise setups and secure cloud environments, giving organizations full control over data, governance, and integrations.
Handles PDFs, images, scanned files, Word documents, and text formats. With optional OCR, JET converts images to text for seamless processing across all formats.
Uses business rules, ML models, pattern recognition, and NLP to automatically classify and route documents with high accuracy.
Extracts key information using NLP, machine learning, statistical models, and rule-based engines turning unstructured content into clean, structured data.
Analyzes long and complex documents—legal files, contracts, invoices, statements, and technical records to deliver faster review and meaningful insights.
Built for scale, JET processes large batches quickly while maintaining accuracy and consistency.
The system uses a continuous improvement model, learning from corrections and feedback to enhance accuracy over time and reduce rework.
Delivers structured output in customer-defined formats and integrates easily with ERP, DMS, CRM, RPA, and BI systems to streamline downstream workflows.

End-to-end automation of document workflows
Accurate extraction even from unstructured content
Flexible rule-based and AI-driven processing
Easy integration with existing systems
Designed for compliance-heavy industries
Scalable architecture for enterprise workloads
Consistent performance with continuous model improvement