Firstly, DeepOpinion's approach to Underwriting Slip processing is different from traditional OCR solutions primarily due to its ability to handle global document variation and messy documents with high accuracy. Rather than relying on predefined templates and positional data, DeepOpinion employs Large Language Models (LLMs) that can handle a vast array of layouts. In one example, it handled 35,000+ layouts with an impressive accuracy rate of over 98%. This approach also reduces error rates by 20x, leading to a significant improvement in operational efficiency. This is made possible by leveraging the power of generative and discriminative AI, which allows the development of enterprise-grade AI apps in a matter of minutes. Secondly, DeepOpinion's approach is characterized by efficiency and convenience, without requiring extensive data training. Traditional OCR solutions often necessitate large training data sets, specifically for managing complex unstructured documents. These models often deliver inaccurate results due to ineffective AI tools. Instead, DeepOpinion uses domain-tuned Generative LLM zero-shot capabilities to build powerful models without requiring any data training. This allows businesses to define their desired outcome and let AI do the rest. For tasks that require a higher level of accuracy, DeepOpinion's models require only 50-100 training examples, outperforming major competitors by up to 3x on unstructured data. Finally, DeepOpinion's approach offers pre-trained models, operational advantages, and continuous learning capabilities. Traditional OCR solutions often require high training and maintenance effort and costs, and struggle with flexible/unstructured layouts. In contrast, DeepOpinion offers a library of 60+ domain-tuned pre-trained AI apps that can be easily customized to meet unique business needs. The AI models from DeepOpinion also continuously improve, thanks to advanced model-listening and an automated continuous learning loop. This not only enhances the performance of the AI, but also benefits all users by indirectly contributing to better models. Secondly, DeepOpinion's approach is characterized by efficiency and convenience, without requiring extensive data training. Traditional OCR solutions often necessitate large training data sets, specifically for managing complex unstructured documents. These models often deliver inaccurate results due to ineffective AI tools. Instead, DeepOpinion uses domain-tuned Generative LLM zero-shot capabilities to build powerful models without requiring any data training. This allows businesses to define their desired outcome and let AI do the rest. For tasks that require a higher level of accuracy, DeepOpinion's models require only 50-100 training examples, outperforming major competitors by up to 3x on unstructured data. Finally, DeepOpinion's approach offers pre-trained models, operational advantages, and continuous learning capabilities. Traditional OCR solutions often require high training and maintenance effort and costs, and struggle with flexible/unstructured layouts. In contrast, DeepOpinion offers a library of 60+ domain-tuned pre-trained AI apps that can be easily customized to meet unique business needs. The AI models from DeepOpinion also continuously improve, thanks to advanced model-listening and an automated continuous learning loop. This not only enhances the performance of the AI, but also benefits all users by indirectly contributing to better models.

DeepOpinion's document processing AI models excel in extracting information from a wide range of documents, including those with high variability and complex structures, such as unstructured or semi-structured documents. Leveraging domain-tuned Large Language Models (LLMs), these AI models are adept at understanding context and intent without relying on predefined templates or extensive training datasets. Capable of handling 99% of global document variations, they achieve an impressive accuracy rate of 98%+, significantly reducing error rates by 20 times. These domain-tuned, zero-shot capabilities facilitate the rapid creation of powerful, customized AI applications in minutes, not months. As a result, DeepOpinion not only outperforms major competitors by up to 3x on unstructured data but also offers a scalable solution that adapts to specific needs without the traditional requirements for AI training, making it a leader in document processing technology.

To enhance and adjust the AI output, DeepOpinion leverages both automatic improvements through its continuous learning loop and active learning sessions, as well as Human in the Loop (HITL) capabilities for manual interventions. The platform's AI models automatically improve over time by adapting to new data and user corrections, employing a sophisticated model-listening mechanism that captures and learns from every interaction. This ensures the AI's accuracy and understanding continuously evolve without explicit retraining.

Additionally, DeepOpinion's HITL feature allows for precise human oversight on low-confidence predictions or complex cases, which are then fed back into the AI system as learning instances. This combination of automated and manual refinement processes enables a dynamic improvement of AI outputs, ensuring they become increasingly accurate and tailored to specific user requirements and document types. This approach not only enhances efficiency but also allows for the AI to adapt to new formats and extraction needs seamlessly, maintaining high performance and adaptability.

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.

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.

To extract additional fields from any document, DeepOpinion empowers users to simply describe in plain language what fields they want and the AI efficiently handles the rest. This intuitive process, supported by DeepOpinion's Generative Reasoning capabilities, allows for the extraction and interpretation of relational and contextual information within documents. Advanced Generative Reasoning even enables you to extract data that requires human interpretation and may not even be explicitly clear on the page.

DeepOpinion offers an expansive suite of AI capabilities designed for a wide range of document and text processing applications. At the core, DeepOpinion enables the creation of enterprise-grade AI applications within minutes, uniting generative and discriminative AI technologies to address complex challenges across various domains.

Key capabilities include:
Generative AI Apps: With over 60+ pre-trained models covering a diverse array of domains, users can process, summarize, and interpret data for numerous document types and text content. These models are highly customizable, allowing users to tailor AI applications to their specific requirements swiftly.
Model Versatility and Accuracy: DeepOpinion's LLMs handle 99% of global document variations, providing 98%+ accuracy without relying on templates or pixel rules. This model versatility significantly reduces error rates and supports domain-tuned, zero-shot capabilities for quick and efficient model development.
Data Efficiency: The platform's approach to AI for text and documents is 20x more data-efficient compared to competitors, requiring only 50-100 training examples to achieve significant accuracy improvements beyond 98% performance.
Automation and Integration: DeepOpinion's robust API connectivity enables secure integration with over 200+ enterprise systems, including RPAs, BPMs, and databases, facilitating seamless incorporation into existing workflows.
Advanced Features: The platform supports detailed business logic and rules, customizable output formats, and multi-path AI workflows without code, making it flexible for complex use cases. Additionally, it includes data post-processing, enrichment, validation, Human-in-the-Loop (HITL) capabilities for exception handling, data record matching, and input/output data mapping.
Generative Reasoning: Built-in generative reasoning capabilities allow the AI to understand relational and contextual information within documents. This feature is crucial for interpreting data accurately and maximizing the efficiency of straight-through processing.

DeepOpinion's comprehensive AI capabilities are designed to streamline document processing, enhance accuracy, and integrate seamlessly with existing systems, making it a powerful tool for businesses looking to leverage AI for operational efficiency and data management.

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.

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.

DeepOpinion employs a volume-based pricing model, where costs are tailored based on the amount of data processed, the number of documents handled, or the extent of AI capabilities utilized, providing scalable solutions that accommodate varying operational sizes and requirements. To get a specific quote, we recommend experiencing a demo.

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.