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Phytosanitary Certificate Automation is a powerful, transformative technology that leverages advanced AI and machine learning to streamline and automate the processing of phytosanitary certificates.
This technology excels by extracting crucial information such as commodity type, quantity, destination, and treatment details from a myriad of document layouts with unparalleled accuracy. DeepOpinion's Generative Automation platform offers this capability, harnessing the power of a single Large Language Model (LLM) to handle 99% of global variations in document layouts with over 98% accuracy.
This technology brings substantial impact on operational efficiency, significantly reducing error rates and eliminating the need for extensive data training and manual processing. By integrating DeepOpinion's solution, businesses can experience an immediate improvement in overall performance, with enhanced Straight Through Processing, increased dark processing rates, and significant savings in time and resources.
With the continuous learning capabilities of the AI models, the performance only gets better with time, making Phytosanitary Certificate Automation a game-changing solution for businesses dealing with these documents.
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
Frequently asked questions
DeepOpinion's unique approach in Phytosanitary Certificate processing lies in its pioneering use of artificial intelligence, specifically Large Language Models (LLM), in handling a wide array of document layouts. Traditional OCR solutions, which rely on templates and position-based information, struggle with global variation and the wide layout variety inherent in these certificates. DeepOpinion's AI solution overcomes these obstacles by training a single LLM to achieve 98%+ accuracy, significantly reducing error rates. In fact, a single LLM was able to process over 35,000+ layouts with 98% accuracy, demonstrating its versatility and accuracy in processing both unstructured and semi-structured documents. Another differentiator is DeepOpinion's ability to build powerful models without the need for extensive data training. Traditional OCR solutions often require large training data sets, especially for complex unstructured documents, and even then, they can deliver inaccurate models. DeepOpinion, on the other hand, uses domain-tuned Generative LLM zero-shot capabilities to build models in minutes, without requiring any data training. This means you can achieve above 98% AI Accuracy with 20x less data using this technology. This capability is backed by DeepOpinion's continued research in LLM since 2018, developing proprietary pre-trained generative and discriminative LLM Models with context-aware Intelligent Document Processing (IDP) and natural language understanding (NLU) technology. The third key differentiator is the operational and maintenance advantages offered by DeepOpinion's solution. Traditional OCR methods require high training and maintenance effort/costs, and struggle with flexible/unstructured layouts. This results in high error rates, model drift, and frequent updates. DeepOpinion addresses this by reducing reliance on predefined templates and instead offers interpretative capabilities for dark processing. Moreover, DeepOpinion's models continuously improve as more data is passed through them and corrections are made. This is facilitated by advanced model-listening, an automated continuous learning loop, and data network effect, ensuring that the performance of AI does not plateau but keeps improving over time.
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.