Fully automate digitization with OCR and Solar LLM
99.9%
Accuracy up to
1M+
Documents per day
70%
Proven to reduce costs by
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.
Powered by Upstage Document AI
Auto-validation
Cross-checks extracted information against the original document to ensure accuracy, utilizing Solar LLM to minimize errors and prevent misclassification.
Powered by Upstage Solar LLM
Auto-correction
Cross-checks extracted information against the original document to ensure accuracy, utilizing Solar LLM to minimize errors and prevent misclassification.
Powered by Upstage 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.
Powered by Upstage Solar LLM
Why Upstage?
Flexible deployment
Designed with the insurance sector’s needs in mind, the system integrates seamlessly across diverse environments, including on-premises, cloud, and VPC, adapting to the unique infrastructure needs of each customer.
Proven track record
Upstage’s system, trusted by 20+ major insurance customers, delivers 96%+ accuracy while processing 270k+ documents daily, effortlessly scaling to handle high volumes with exceptional efficiency, even during peak periods.
Customizability
To ensure optimal performance for each use case, Upstage provides fine-tuning services tailored to customer requirements. Additionally, the system supports flexible deployment across various environments, including on-premises, cloud, and VPC.
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.
"Upstage delivers exceptional performance, achieving a recognition rate of over 95% with its base models across various document types. Unlike traditional solutions with limited OCR capabilities, Upstage has enhanced its model performance and developed a range of commercial models, enabling broader applications in document processing. We chose Upstage as a partner for its scalability and look forward to future collaborations.”
— Data Analytics Jeon Gyeong-won, Team Leader
Ready to achieve 100% accuracy
in claims processing?
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