Fully automate digitization with OCR and Solar LLM
.gif)
The current challenge in digitizing documents for insurance claims
Turning unstructured documents into structured data is essential for efficient insurance claims processing. Yet, even the most advanced solutions often require manual intervention, leading to delays, errors, and inefficiencies. To achieve seamless processing, insurers need a fully automated digitization solution that eliminates human dependency while maintaining high accuracy and reliability.
Closing the accuracy gap with OCR and Solar LLM
At Upstage, we’ve developed a groundbreaking approach to deliver end-to-end automation in insurance claims processing. Our powerful OCR technology excels at digitizing documents and extracting essential information with exceptional precision. It efficiently handles diverse document types, converting unstructured data into an initial structured format.
Solar LLM takes this process further by validating, correcting, and grounding the extracted data to ensure accuracy and reliability. This proprietary model adds an additional layer of intelligence, addressing edge cases and inconsistencies to provide insurers with fully automated workflows that meet industry standards. Together, OCR and Solar LLM revolutionize claims processing, transforming it into a seamless, automated operation.
Document Classification
Automatically categorizes incoming documents by type (e.g., invoices, medical receipts, prescriptions, discharge summaries), using custom classifiers that enable faster and more targeted data extraction.
Key Information Extraction
Extracts essential information, such as claimant details, policy numbers, and claim amounts, with high precision. This process leverages OCR-based key information extraction models to ensure that every critical piece of data is accurately captured.
Auto-validation
Cross-checks extracted information against the original document to ensure accuracy, utilizing Solar LLM to minimize errors and prevent misclassification.
Auto-correction
Corrects any errors in the extracted data, such as incorrect dates or missing identifiers, enhancing data reliability and integrity with Solar LLM.
Grounding
Uses Solar LLM to classify extracted information into predefined labels (e.g., diagnosis codes), ensuring that data is contextually relevant and accurately structured for downstream processing.
Proven impact in insurance claims processing
Upstage is trusted by major insurance companies and powers over 60% of insurance claims processing in Korea alone. By significantly reducing the need for manual data entry, our solution has improved operational efficiency, cut processing times, and enhanced customer satisfaction across the industry.
Explore how Upstage’s AI innovations are empowering enterprises not only in Korea but across the APAC region, including Japan and Thailand. We’re already partnering with major companies in these markets, helping them implement advanced AI solutions to boost efficiency and performance.
Building Tomorrow’s Solutions Today
Talk to AI expert to find the best solution for your business.
