Serimag
Serimag is a Spanish company specializing in intelligent document processing and automation through artificial intelligence, primarily serving the banking and insurance sectors with customized solutions.
Overview
Serimag provides advanced document automation solutions that leverage artificial intelligence to streamline document-intensive processes for enterprises. Their technology combines optical character recognition (OCR), natural language processing (NLP), and machine learning to extract, classify, and process information from various document types.
Founded and headquartered in Barcelona, Spain, Serimag has established itself as a leader in Spain for Intelligent Document Process Automation services, particularly in the banking and insurance industries [1]. The company has been working on artificial intelligence projects for over seven years, with a team of mathematicians and engineers developing customized document processing solutions [2]. Serimag's approach focuses on delivering tailor-made solutions with a pay-per-use business model, making advanced document automation accessible to various organizations.
Serimag serves businesses that deal with large volumes of documents and require efficient, accurate processing capabilities. Their primary clients include financial institutions, insurance companies, and other document-intensive enterprises seeking to automate manual processes, reduce operational costs, and improve data extraction accuracy.
Key Features
- Intelligent OCR: Advanced optical character recognition with high fidelity and image quality
- Natural Language Processing: Text analysis and understanding capabilities
- Document Classification: Automated categorization of document types
- Data Extraction: Identification and capture of relevant information from documents
- Process Automation: End-to-end workflow solutions for document-intensive processes
- Mobile Document Capture: Tools for capturing documents using mobile devices
- Custom AI Models: Tailored artificial intelligence solutions for specific document types
- Validation Systems: Verification of extracted data for accuracy
- Integration Capabilities: Connectivity with existing enterprise systems
- Analytics: Insights and reporting on document processing operations
Use Cases
Banking Document Processing
Financial institutions implement Serimag's solutions to automate the processing of loan applications and supporting documentation. During the COVID-19 pandemic, Serimag helped Spanish banks process more than 5 million documents (20 million pages) related to loan requests from companies seeking financial aid from Instituto de Crédito Oficial (ICO) [3]. The system captures incoming loan documents through multiple channels, including scanned paper, email attachments, and digital uploads. AI-powered classification automatically categorizes documents by type (ID verification, financial statements, tax records, etc.). Intelligent OCR extracts relevant data fields with high accuracy, even from complex or low-quality documents. Validation rules verify extracted information against business requirements. The processed data is then integrated with the bank's loan management systems. This implementation accelerates loan processing through automated document handling, improves data accuracy through consistent extraction methodology, enhances compliance through comprehensive validation, and increases customer satisfaction through faster application processing.
Insurance Claims Automation
Insurance companies leverage Serimag's technology to streamline their claims processing workflows. The solution automates the intake of claims forms and supporting documentation, including accident reports, medical records, and repair estimates. Document classification identifies and separates different document types within a claim file. Data extraction capabilities capture relevant claim details, policy information, and incident data. NLP technology understands the context of information within documents to extract meaningful insights. Workflow automation routes claims to appropriate handlers based on claim type, complexity, and priority. The system maintains an audit trail of all processing steps for compliance purposes. This approach reduces claims processing time through automated information extraction, improves accuracy through consistent data capture, enhances adjuster productivity by eliminating manual document review, and provides better visibility into claims status and processing metrics.
Back-Office Document Management
Organizations implement Serimag's solutions to transform their back-office document management operations. The system centralizes document processing across departments, including finance, human resources, and operations. Intelligent document capture converts physical documents to digital formats while extracting key metadata. Classification capabilities automatically organize documents by type, department, and purpose. Data extraction tools identify and capture critical information from invoices, contracts, and other business documents. Workflow automation routes documents to appropriate stakeholders for review and approval. Integration with enterprise systems ensures that extracted data flows into relevant business applications. This implementation reduces manual handling through automated document routing, improves information accessibility through digital transformation, enhances data quality through consistent extraction methodology, and accelerates business processes through streamlined document workflows.
Technical Specifications
Feature | Specification |
---|---|
Deployment Options | Cloud-based, on-premises, hybrid |
AI Technologies | OCR, NLP, machine learning, computer vision |
Document Types | Structured, semi-structured, unstructured |
Supported Formats | PDF, TIFF, JPEG, PNG, Office documents, emails |
Integration Methods | APIs, web services, direct system integration |
Language Support | Multiple languages including Spanish, English |
Processing Capacity | High-volume document processing |
Security | Enterprise-grade data protection |
Scalability | Adaptable to growing document volumes |
Business Model | Pay-per-use, customized pricing |
Getting Started
- Requirements Analysis: Assessment of document processing needs
- Solution Design: Configuration based on specific document types
- Implementation: Deployment and integration with existing systems
- Training: AI model training with organization-specific documents
- Optimization: Continuous improvement of processing accuracy
Resources
Contact Information
- Website: serimag.com or serimagmedia.com
- Headquarters: Barcelona, Spain
- Address: 5 C/ Frederic Mompou, Sant Just Desvern, Spain [4]
- Phone: +34 934770007 [4]