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Letters of Credit Automation is a transformative solution that uses advanced Artificial Intelligence (AI) and Machine Learning (ML) technologies to streamline and expedite the processing of letters of credit. By leveraging the power of DeepOpinion’s proprietary Large Language Models (LLMs), businesses can accurately extract key information from these documents, such as the names of the parties involved, the amount of credit, the description of goods, and shipment details.
This AI-powered approach eliminates the reliance on pre-defined templates and reduces the error rates by 20x, thus significantly enhancing operational efficiency. Moreover, with the ability to handle 99% of global variation in document layouts and extract data from unstructured and semi-structured documents, our solution delivers unparalleled versatility and accuracy.
This not only improves the speed and quality of data extraction but also directly impacts business performance by reducing costs, minimizing risks, and accelerating the overall processing time. With DeepOpinion, businesses can unlock the full potential of AI to transform their letters of credit processing, thereby gaining a competitive advantage in today's digital-first business landscape.
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
“With DeepOpinion, self-service AI became effortless. It streamlined AI model creation without the need for extensive expertise, saving time and resources”
“DeepOpinion’s straight through processing is amazing, more than double what we’ve achieved. We’ve never seen anything even close to that.”
Frequently asked questions
DeepOpinion's approach to Letters of Credit processing is different from traditional OCR solutions in several key ways. Firstly, the use of Large Language Models (LLMs) in DeepOpinion's AI Hub allows for greater versatility and accuracy, enabling the processing of a wide variety of layouts and reducing error rates by a significant margin. Traditional OCR solutions often struggle with messy document realities, such as dependence on layouts and position-based information. However, DeepOpinion's approach handles 99% of Global Variation with a single LLM, resulting in higher accuracy and efficiency. Notably, a single LLM was able to process over 35,000 layouts with over 98% accuracy in one instance. Second, DeepOpinion's AI Hub requires zero-training and is highly data efficient. Traditional OCR solutions often require large training data sets, especially when handling complex unstructured documents. This often results in inaccurate models due to ineffective AI in existing tools. In contrast, DeepOpinion allows for the building of powerful models in minutes without requiring any data training using domain-tuned Generative LLM zero-shot capabilities. This means that you can describe what you'd like to achieve, and the AI creates it, significantly reducing the time and resources required. Thirdly, DeepOpinion's operational and maintenance advantages set it apart from traditional OCR solutions. High training and maintenance efforts and costs are common pain points with traditional solutions. The need for predefined templates and the challenges of handling flexible, unstructured layouts can lead to high error rates. DeepOpinion reduces reliance on predefined templates and offers capabilities for complete dark processing, mitigating these challenges. The AI Hub's continuous learning feature means that as more data is passed through the models and corrections are made, the performance of the AI improves. This leads to more accurate and efficient Letters of Credit 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.