.svg)
Landing AI delivers a comprehensive Visual AI platform designed to help enterprises unlock value from unstructured visual data. The platform combines sophisticated computer vision capabilities with an accessible interface, enabling organizations to build, deploy, and scale AI solutions without requiring extensive technical expertise.
The platform features two primary offerings that address distinct enterprise needs. Agentic Document Extraction provides intelligent document processing that goes beyond traditional OCR, capturing complex layouts, tables, charts, and form fields with visual context. This API-first solution enables organizations to convert decades of archived documents into structured, machine-readable data rapidly. The system performs zero-shot parsing across diverse document formats, maintains semantic relationships between elements, and provides visual grounding for answer verification and compliance traceability.
LandingLens serves as a no-code platform for building custom computer vision models. The system emphasizes Data-Centric AI principles, focusing on data quality to achieve superior model performance with smaller datasets. Users can label images collaboratively, train models with one-button simplicity, and deploy across cloud and edge environments. The platform includes automated mislabeling detection, continuous learning capabilities that improve models from production data, and flexible deployment options ranging from Windows applications to programmatic APIs.
The platform architecture supports enterprise security requirements while maintaining scalability from single production lines to worldwide operations. Organizations benefit from standardized workflows that reduce adoption time, collaborative features for distributed teams, and integration capabilities that fit existing technology environments. Landing AI processes over one billion images annually with documented reliability, serving customers including Deloitte, AMD, Foxconn, Intel, Omniab, Toyota, and HMTX across multiple continents.
- Extract structured data from complex financial statements, insurance claims, and regulatory documents for risk assessment and compliance monitoring
- Automate patient intake processing by accurately capturing information from medical forms, lab reports, and clinical documentation
- Parse bills of lading, customs forms, and warehouse documents to accelerate shipment processing and improve supply chain visibility
- Review and extract key clauses from legal contracts, court filings, and regulatory documents for case research and compliance
- Build computer vision models for manufacturing quality inspection and defect detection with minimal training data
- Deploy visual inspection systems across production lines to identify product defects, assembly errors, and packaging issues
- Process invoices, purchase orders, and receipts to automate accounts payable workflows and financial reconciliation
- Analyze charts, graphs, and tables embedded in business reports to extract quantitative insights and performance metrics
- Label and train custom vision models for specialized use cases across automotive, electronics, food and beverage industries
- Implement continuous learning systems that improve model accuracy by incorporating feedback from deployment environments
- Scale computer vision projects from pilot programs to enterprise-wide deployments across multiple locations and teams
- Integrate visual AI capabilities directly into existing systems through secure APIs and flexible deployment options
