Revolutionize Document Management for Construction Industry with AI-Powered Solution. Transform unstructured documents into interconnected, actionable knowledge with our cutting-edge Information Retrieval technology. Advanced Document Digitization: • State-of-the-art OCR technology based on OCR4all framework. • Multi-stage process: intelligent preprocessing, advanced segmentation, precision recognition. • Hybrid approach: automated efficiency, manual parameterization, LAREX editor integration. • AI-powered language models for text correction. • Multimodal models (e.g., CLIP) for complex documents. Dependency Analysis: • Named Entity Recognition (NER) for mapping relationships. • Instant insights on responsibilities, contacts, and historical data. Graph Generation: • Interactive visualization of company knowledge. • Explore document dependencies, semantic relationships, and personnel responsibilities. • Hybrid search technology combining dense and sparse methodologies. • Intuitive exploration tool. • DAO for node traversal, ready for LLM-chat integration. Business Benefits: • Structured, searchable knowledge base. • Uncover hidden insights. • Scalable information management. • Secure, persistent storage with automated backups. • Improved employee focus on high-value tasks. • Find discrepancies across all your documents and address them before they cause project-wise problems. Advanced Features: • LLM-powered chat application integration. • Choose from Azure, Gemini, or Groq. • On-premises LLM server option for enhanced security. Security and Compliance: • Offline processing is possible on your infrastructure. • Meets stringent security and compliance requirements. Transform your document management approach and unlock the full potential of your information assets.
Category tags:"Unique idea guys, i like the graph visualization and the demo seems to be working too. A little more features would be appreciated, nevertheless really solid project"
Shebagi Mitra
Technical Mentor
"Great idea! Love the presentation! I can see some proper value here."
Nate Rundberg
lablab NEXT