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Mortgage Application Automation revolutionizes business operations by harnessing the power of AI and machine learning to streamline the often complex and time-consuming process of processing mortgage applications.
This advanced technology leverages Large Language Models (LLMs) to accurately extract key information from a myriad of document formats and layouts, including crucial details specific to mortgage applications such as applicant information, property details, loan amounts, and credit history.
With DeepOpinion's industry-leading Generative Automation platform, businesses can quickly build enterprise-grade AI applications that not only handle 99% of global variation with one single LLM but also significantly reduce error rates. These applications require zero training, are easily customizable, and can integrate seamlessly with existing systems, delivering immediate impact and substantial operational efficiency. This translates to a marked improvement in business performance, with the potential for 70%+ straight-through processing in weeks, leading to significant cost savings and the ability to handle previously untouched semi/unstructured use cases.
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 Mortgage Application processing is revolutionary because it departs from traditional OCR solutions in several key ways. First, instead of relying on predefined templates which are limited in their ability to handle global variation and layout variety, DeepOpinion uses Large Language Models (LLMs). These models can handle 99% of global variation with one single LLM, reducing error rates by 20x and achieving over 98% accuracy with just one model. For instance, a singular LLM was able to process more than 35,000 diverse layouts with over 98% accuracy. This is possible due to DeepOpinion's pioneering use of generative AI and expert LLMs for document processing, ensuring the accurate extraction of information from a wide variety of documents, including handwritten and multi-page docs. Another factor that differentiates DeepOpinion's approach is its ability to build powerful models without requiring extensive data training. Traditional OCR solutions often require large training data sets, especially when handling complex, unstructured documents. This results in inaccurate models and a significant investment of resources. In contrast, DeepOpinion employs domain-tuned Generative LLM zero-shot capabilities, which means you can describe what you want the AI to achieve, and it will create it. Moreover, DeepOpinion's models require only 50-100 training examples, outperforming competitors by up to 3x on unstructured data. Finally, DeepOpinion offers operational and maintenance advantages over traditional OCR solutions. Traditional solutions often require high training and maintenance effort, and are prone to high error rates with flexible or unstructured layouts. With DeepOpinion, the reliance on predefined templates is reduced significantly, enabling complete dark processing. This approach also boasts continuous learning, whereby the performance of AI improves as more data is passed through the models and corrections are made. This continuous learning loop ensures that all users benefit from the learning advantages of a specific model, contributing to a better performance 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.