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Proof of Funds Automation leverages AI and machine learning to streamline and enhance the process of verifying the availability of funds in a client's account. It's a revolutionary tool that uses AI to extract key information, such as the account holder's name, account number, account balance, and date of statement, from various types of documents.
The technology's ability to handle a wide variety of layouts and extract both structured and unstructured data makes it incredibly versatile. DeepOpinion's AI Hub, with its pre-trained models and zero-training necessary approach, makes this process even more efficient.
By utilizing large language models (LLMs) that can handle 99% of global variation and deliver over 98% accuracy, businesses can significantly reduce error rates and improve operational efficiency. In turn, this leads to better business performance, as tasks that once required significant time and resources can be completed quickly and accurately with minimal human intervention.
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 approach to Proof of Funds processing differs from traditional OCR solutions in its application of advanced AI technology, the use of Large Language Model (LLM), and the efficient data processing methods it employs. The traditional OCR solutions rely on layouts and position-based information which can lead to high error rates, especially when dealing with a wide variety of global document layouts and semi/unstructured documents. In contrast, DeepOpinion deploys a single Large Language Model (LLM) that can handle 99% of global variation with 98%+ accuracy, independent of document layouts. This versatile model can process tens of thousands of layouts, including unstructured and semi-structured documents, with the ability to extract hierarchical information, line items, tables, and even interpret handwriting and signatures. Another significant differentiation is the zero-training necessary for data efficiency with DeepOpinion's approach. Traditional OCR methods require large training data sets to handle complex unstructured documents, which often result in inaccurate models due to ineffective AI. This usually requires the manual annotation of thousands of documents or the creation of many templates to build a half-decent model. Conversely, DeepOpinion utilizes domain-tuned Generative LLM zero-shot capabilities to build powerful models in minutes without any data training. Furthermore, the models can achieve above 98% AI Accuracy with 20x less data, thanks to domain-tuned LLMs that require only 50-100 training examples. DeepOpinion's approach also includes pre-trained models for quick impact on common document types and operational and maintenance advantages. Unlike traditional OCR solutions that might need in-house customizations and multiple point solutions, DeepOpinion offers pre-built apps and a collection of 60+ pre-trained AI apps that can be customized easily and quickly. Operational and maintenance advantages include reduced reliance on predefined templates, capabilities for complete dark processing, and continuous improvements in AI accuracy with continuous learning. This approach not only reduces the high training and maintenance effort/costs associated with traditional OCR solutions but also mitigates the high error rates with flexible/unstructured layouts.
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.