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Health Insurance Card Automation is a transformative solution that leverages AI and machine learning to streamline the processing of health insurance cards for businesses. This innovative technology precisely extracts critical information such as patient identity, insurance provider details, policy number, and validity dates, among others, from health insurance cards, regardless of their layout or design.
DeepOpinion's generative automation platform offers this capability, using a single Large Language Model (LLM) that can handle a diverse range of layouts with over 98% accuracy. By eliminating the dependency on manual data entry and reducing error rates by 20x, this automation significantly enhances operational efficiency, reduces costs, and accelerates business performance.
Moreover, the platform's continuous learning feature ensures consistent improvement in AI accuracy, further maximizing straight-through processing. Through the integration of this technology, businesses can effectively address the challenges of processing health insurance cards, thereby achieving greater scalability and business value.
Build Enterprise-Grade AI Apps
Create AI applications in minutes to process your documents without  using code.
Maximum Accuracy & Versatility
A single model can handle millions of different layouts with high accuracy, without the need for templates.
Zero-Training Needed
Use customizable pre-trained models that require no additional training, facilitating immediate deployment.
Continuous Accuracy Improvement
As new data is introduced, the Document AI enhances its accuracy through an automated learning loop.
Control Data Output
Easily manage data output and formats with features for data matching and the ability to loop in humans for review.
What customers are saying
Frequently asked questions
DeepOpinion's approach to Health Insurance Card processing using its AI Hub has distinct advantages over traditional OCR solutions. Our Large Language Model (LLM) can handle millions of document layouts, reducing error rates by 20x and offering independence from templates. The model has demonstrated the ability to successfully process 35000+ layouts with over 98% accuracy. Unlike traditional OCR solutions that rely heavily on position-based information and struggle with global variation and semi/unstructured documents, our AI Hub enables the handling of 99% of global variation with a single LLM. Additionally, DeepOpinion provides a zero-training necessary approach, building powerful models without requiring any data training. This is a marked departure from traditional OCR solutions that require large training data sets, especially for handling complex unstructured documents. Our AI for text and documents outperforms major competitors by up to 3x on unstructured data, achieving above 98% AI Accuracy with 20x less data, requiring only 50-100 training examples. Our pre-trained models also provide a quick impact in common document types, offering a collection of 60+ domain-tuned pre-trained generative and discriminative AI apps to instantly process, summarize, or interpret data for various document types. Our AI Hub also has operational and maintenance advantages, reducing reliance on predefined templates and enabling complete dark processing. Traditional OCR solutions have high training and maintenance efforts/costs and struggle with high error rates with flexible/unstructured layouts. DeepOpinion's approach, however, continuously improves AI accuracy as more data is passed through the models and corrections are made, thanks to advanced model-listening and an automated continuous learning loop and data network effect. This means that all users indirectly contribute to better models for all, making the whole ecosystem more efficient and effective. Furthermore, our generative reasoning capabilities allow for the interpretation of relational and contextual information in documents, which traditional OCR solutions cannot achieve.
How easy and fast is it to start seeing results?
DeepOpinion enables rapid deployment and integration, allowing users to see immediate results. The platform's pre-trained models and zero-shot capabilities mean that powerful AI applications can be developed and deployed within minutes, without the need for extensive data training or technical expertise.
Do I need to train or label data?
No initial training or labeling is required to start with DeepOpinion. The platform uses pre-trained models that are highly efficient and effective right out of the box, handling 99% of global document variations. These models can achieve 98%+ accuracy without the need for custom templates, pixel rules, or extensive labeled datasets, significantly reducing reliance on large amounts of training data traditionally required for AI systems.
However, for those seeking to fine-tune performance beyond 98% accuracy, DeepOpinion is designed to be 20x more data-efficient compared to traditional models. Where competitors might require 1,000-2,000 samples to improve model accuracy, DeepOpinion can achieve substantial accuracy improvements with just 50-100 examples. This unique feature allows for highly efficient, targeted learning that enhances the AI's capabilities with minimal data input, making DeepOpinion a highly adaptable and efficient choice for optimizing document processing AI performance.
How can I integrate it into my other software tools and systems?
DeepOpinion can be securely and robustly integrated with over 200+ enterprise systems, including RPAs, BPMs, databases, chatbots, and more, via API. The platform supports REST API for seamless connectivity, facilitating easy and fast integration into existing software landscapes and enabling drag & drop live integrations.
Does DeepOpinion offer Human in the Loop capabilities?
Yes, DeepOpinion offers advanced Human in the Loop (HITL) capabilities, allowing for exception handling and precision improvement through human oversight. The platform's HITL interface and active learning sessions identify low-confidence data points that, if interpreted by a human, could significantly enhance performance, ensuring efficient and continuous improvement of AI accuracy.
Which languages do you support?
DeeOpinion offers robust language support for text and document processing, covering the official language or predominant spoken language in 182 countries. Specifically, it provides processing capabilities for 100+ languages for text and 55+ languages for documents.
Text Processing Languages Supported:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali, Bengali (Romanized), Bosnian, Breton, Bulgarian, Burmese, Catalan, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Czech, Danish, Dutch, English (US), English (GB), Esperanto, Estonian, Filipino, Finnish, French, Galician, Georgian, German, Greek, Gujarati, Hausa, Hebrew, Hindi, Hindi Romanized, Hungarian, Icelandic, Indonesian, Irish, Italian, Japanese, Javanese, Kannada, Kazakh, Khmer, Korean, Kurdish (Kurmanji), Kyrgyz, Lao, Latin, Latvian, Lithuanian, Macedonian, Malagasy, Malay, Malayalam, Marathi, Mongolian, Nepali, Norwegian, Oriya, Oromo, Pashto, Persian, Polish, Portuguese, Punjabi, Romanian, Russian, Sanskrit, Serbian, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Tamil, Tamil Romanized, Telugu, Telugu Romanized, Thai, Turkish, Ukrainian, Urdu, Urdu Romanized, Uzbek, Vietnamese, Welsh, Xhosa, and Yiddish.
Document Processing Lanuages Supported:
For document processing we support: Afrikaans, Albanian, Arabic, Bengali, Bulgarian, Chinese (Simplified), Chinese (Traditional), Chinese (Cantonese), Chinese (Taiwanese), Croatian, Czech, Danish, Dutch, English (US), English (GB), Estonian, Farsi (Persian), Filipino (Tagalog), Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Indonesian, Italian, Japanese, Kannada, Korean, Latvian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Polish, Portuguese, Punjabi, Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Swedish, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese.