Exploring and sharing practical AI Proof of Concepts for document intelligence, shipping, logistics, finance, warehouse automation, sustainability and business workflows.
Build practical Artificial Intelligence solutions that reduce manual effort, improve operational efficiency, and accelerate digital transformation across Shipping, logistics, warehouse, finance, and supply chain operations.
AI-powered extraction and validation of structured information from business documents.
Image analysis, package detection and warehouse automation using AI Vision models.
Trade document processing and logistics workflow automation.
Research & innovation library
Explore practical AI proofs of concept designed for shipping, logistics, warehouse, finance and sustainability workflows.
Access to this independently developed POC library is provided for controlled evaluation.
Research preview. These applications are experimental prototypes intended for demonstration and evaluation. Features and outputs may evolve as development continues.
Explore AI extraction, understanding and validation of structured and unstructured documents.
Explore AI vision for image analysis, package identification, damage detection and warehouse operations.
Explore AI-assisted carbon measurement, journey analysis and sustainable logistics operations.
Apply and integrate proven AI capabilities into practical applications and real-world workflows.
J-AI Research Portal is an independent, non-commercial AI research and educational initiative. Projects are shared for learning, experimentation and public education.