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Balance Sheet Automation is a game-changing technology that leverages AI and machine learning to efficiently process and extract vital information from balance sheets. By automating this traditionally manual process, businesses can quickly and accurately extract key information such as assets, liabilities, and shareholders' equity, providing a comprehensive snapshot of a company's financial health.
This not only improves operational efficiency but also empowers businesses to make more informed financial decisions, enhancing overall performance. DeepOpinion's advanced AI Hub enables this by providing a platform to build enterprise-grade AI apps, capable of handling millions of document layouts and reducing error rates by 20 times.
With pre-trained models, zero-training necessary, and continuous learning capabilities, the AI Hub ensures businesses can efficiently process balance sheets without the need for large training data sets or extensive technical resources. This, in turn, allows businesses to focus more on strategic decision-making and less on manual data processing, driving significant improvements in productivity and business outcomes.
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 Balance Sheet processing leverages advanced AI technology and a Large Language Model (LLM) to handle the variability and complexity of financial documents. Unlike traditional Optical Character Recognition (OCR) solutions that rely on specific document layouts and position-based information, DeepOpinion's AI hub can manage millions of layouts with a single model, reducing error rates considerably. Our system is adept at handling semi-structured and unstructured documents, extracting hierarchical information, line items, tables, and even handwriting with high accuracy. This high level of versatility and accuracy is achieved by training our LLM on millions of texts and documents. This pioneering use of generative and expert LLMs for document processing sets DeepOpinion apart from traditional OCR solutions. DeepOpinion also eliminates the need for extensive training data sets, which are often required by traditional OCR solutions for complex unstructured documents. Our system can build powerful models in minutes without any data training, thanks to our domain-tuned Generative LLM zero-shot capabilities. For more complex tasks, our system requires only 50-100 training examples to achieve above 98% AI accuracy, outperforming major competitors by up to three times on unstructured data. This level of data efficiency is made possible through years of pioneering LLM research, the development of proprietary pre-trained Generative and Discriminative LLM Models, and an Automated Machine Learning architecture that automates model optimization. Lastly, DeepOpinion offers operational and maintenance advantages not found in traditional OCR solutions. Specifically, our system reduces reliance on predefined templates and allows for complete dark processing, which eliminates the need for manual intervention. We also offer continuous learning capabilities, whereby the performance of our AI models improves as more data is passed through them and corrections are made. This leads to a network effect where all users benefit from the improvements made by others, creating a continually improving system. Traditional OCR solutions, on the other hand, often require frequent observation to prevent model drift, updates, and hallucination.
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.