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Cash Flow Statement Automation is a transformative approach that leverages AI and machine learning technologies to process and analyze cash flow statements. It drastically improves operational efficiency and overall business performance by extracting crucial data such as operating activities, investing activities, and financing activities.
With DeepOpinion's Generative Automation platform, businesses can automate this complex process, overcoming the limitations of traditional OCR technologies that struggle with unstructured documents and variation in layouts. By using a single Large Language Model (LLM), DeepOpinion can handle 99% of global variations and achieve 98%+ accuracy without templates or pixel rules. This boosts operational efficiency by reducing error rates and the need for large training data sets.
The AI Hub also enables zero-training necessary, data efficiency, and offers pre-trained models for quick impact. The automation hub integrates robustly with over 200+ enterprise systems via API and provides lightning-fast processing. This technology revolutionizes Cash Flow Statement Automation, enabling businesses to improve operational efficiency, reduce costs, and enhance decision-making based on more accurate and timely financial information.
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 processing Cash Flow Statements differs fundamentally from traditional OCR solutions in its use of AI and Large Language Models (LLMs). Traditional OCR solutions rely heavily on predefined layouts and positions, struggling with variation, context, and semi/unstructured documents. In contrast, DeepOpinion's AI Hub uses a single LLM to handle millions of document layouts, reducing error rates by 20x and achieving over 98% accuracy. This model versatility and accuracy allow for the processing of unstructured documents, wide layout variety, multi-page documents and documents in over 100 languages, even in challenging conditions such as skewed, stamped, smudged or low-resolution documents. The AI Hub significantly reduces the need for large training data sets, traditionally required for handling complex unstructured documents. Traditional tools often deliver inaccurate models despite extensive training data sets due to ineffective AI. DeepOpinion's AI Hub, however, can build powerful models in minutes without any data training using domain-tuned Generative LLM zero-shot capabilities. These models require only 50-100 training examples and outperform major competitors by up to 3x on unstructured data. Furthermore, the AI Hub includes a collection of 60+ domain-tuned pre-trained generative and discriminative AI apps for instant processing, interpretation, and summarization of data for various document types. DeepOpinion's AI Hub also excels in operational and maintenance advantages. Traditional OCR solutions often require high training and maintenance efforts and costs and struggle with flexible/unstructured layouts. In contrast, DeepOpinion's approach reduces reliance on predefined templates and offers capabilities for complete dark processing. The performance of AI continually improves as more data is passed through the models and corrections are made thanks to advanced model-listening and an automated continuous learning loop and data network effect. This approach means that the learning benefits of a model from use in a specific domain benefit all users of the base models, thus indirectly contributing to better models for all companies using DeepOpinion.
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.