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Insurance Claim Automation utilizes advanced AI and machine learning to streamline the insurance claim process, significantly enhancing operational efficiency and overall business performance. Leveraging DeepOpinion's AI Hub, this leading-edge technology can handle millions of document layouts, extracting key information such as claim details, policyholder information, date and time of incident, type of loss, and damage assessment, irrespective of document structure or format.
This robust automation eliminates the pain points of traditional OCR dependence on layouts and positional info, reducing error rates by 20x and handling 99% of global variation with one LLM. DeepOpinion's AI Hub requires zero-training and offers pre-tuned, domain-specific LLMs, allowing businesses to create powerful models in minutes and achieve over 98% accuracy with 20x less data.
Further, the continuous learning loop ensures AI performance improves over time, enhancing straight-through processing. This AI-driven transformation of insurance claims processing translates into significant cost savings, faster claim settlements, and improved customer satisfaction, positioning businesses for sustained growth in a competitive marketplace.
Build Enterprise-Grade AI Apps
Create AI applications in minutes to process your documents without Ā 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.
Frequently asked questions
DeepOpinion's approach to Insurance Claims processing leverages the power of Large Language Models (LLMs) to handle a wide variety of document layouts and variations. Traditional OCR solutions depend on predefined layouts and position-based information, limiting their ability to process global variations, semi/unstructured documents, and complex layouts. In contrast, DeepOpinion's AI Hub uses domain-tuned LLMs that can handle 99% of global variations, reducing error rates by 20 times. These models have been trained on millions of documents. In one particular example, it processed more than 35000 layouts with over 98% accuracy. DeepOpinion's solutions also address the common pain point of time-consuming and data-hungry model training, which is a typical requirement of traditional OCR solutions. DeepOpinion's AI Hub uses Generative LLMs that do not require data training, allowing for rapid model building. Users simply describe what they want to achieve, and the AI takes care of the rest. For more complex tasks, Domain-tuned LLMs that require only 50-100 training examples are used, achieving over 98% accuracy. This approach not only eliminates the need for large datasets and constant model updating but also significantly reduces the time and resources spent on model training. Another key differentiator is DeepOpinion's emphasis on continuous learning and scalability. While traditional OCR solutions often plateau in performance and struggle to manage model drift, DeepOpinion's AI models continuously improve as more data is passed through them and corrections are made. This is facilitated through advanced model-listening, automated continuous learning loops, and data network effects. Furthermore, the AI Hub's low-code/no-code AI designer and system integration capabilities allow for easy design, implementation, and scaling of AI solutions across teams and systems. This, coupled with automated error handling and compliance validation, ensures efficient and secure document processing.
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.