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Certificate of Insurance automation leverages the power of AI and machine learning to streamline and enhance the processing of insurance certificates. This transformative technology uses Large Language Models (LLMs) and Generative AI to extract key information such as policy numbers, effective dates, coverage limits, and insured names, from a wide variety of global document layouts.
Traditional methods dependent on templates and position-based information are significantly outmatched by the 20x reduction in error rates, and 98%+ accuracy offered by DeepOpinion's AI. This not only amplifies operational efficiency but also catalyzes overall business performance.
Furthermore, DeepOpinion's models are trained on millions of texts and documents, enabling them to handle complex, semi-structured, and unstructured documents, along with capability to recognize handwriting and signatures, and process long, multi-page contracts. The AI-driven Certificate of Insurance Automation technology from DeepOpinion improves the accuracy, speed, and quality of document processing, making it an integral part of the operational strategy for businesses striving for excellence and growth.
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.
Frequently asked questions
DeepOpinion's approach to Certificate of Insurance processing is distinct from traditional Optical Character Recognition (OCR) solutions in several ways. The first one is in relation to AI and Document Processing Excellence. Traditional OCR solutions heavily rely on document layouts and positional information, leading to high error rates, particularly with unstructured or semi-structured documents. DeepOpinion, on the other hand, utilizes Large Language Models (LLMs) that handle a wide variety of document layouts globally with an accuracy of over 98%. These models are independent of document layouts, enabling them to handle unstructured and semi-structured documents, and reduce error rates by up to 20 times. Secondly, DeepOpinion's approach is different in terms of its Zero-Training Necessary & Data Efficiency feature. Traditional OCR solutions often require large volumes of training data, especially for handling complex unstructured documents, which can lead to inaccurate models due to ineffective AI tools. DeepOpinion bypasses this need by using domain-tuned Generative LLM zero-shot capabilities to build powerful models in minutes without requiring any data training. The AI takes care of defining, classifying, summarizing, and analyzing the data. For anything else, DeepOpinion achieves over 98% AI Accuracy with 20x Less Data using domain-tuned LLMs that only require 50-100 training examples. Lastly, DeepOpinion's approach stands out in terms of Operational and Maintenance Advantages. Traditional OCR solutions often require high training and maintenance efforts/costs, and struggle with flexible or unstructured layouts. DeepOpinion reduces reliance on predefined templates and offers capabilities for complete dark processing. This, coupled with DeepOpinion's continuous learning and data network effect, ensures that AI model performance continuously improves as more data is processed and corrections are made. This not only benefits individual companies but also the broader user base of base models, leading to better models for all.
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.