Fathom Lexicon
Efficiently analyze large volumes of text with Lexicon's advanced algorithms, automatically extracting custom entities and disambiguating terms to provide clear, concise insights. Lexicon extracts key elements from texts based on specified terms, saving time and effort. Its intelligent disambiguation feature distinguishes between multiple-meaning terms for accurate results. Lexicon's glossary feature provides a centralized location for all extracted terms and definitions, promoting clear team communication. The dedicated Term Page allows for in-depth comprehension of relevant terms, facilitating informed decision-making.
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Moonoia docBrain
The docBrain platform brings together machine learning, data science, solution engineering and DevOps for document-centric productive purpose. Deep learning technology allows you to train AI models from the bottom up and create unique solutions that address your specific document challenges. Use docBrain's pre-trained models to access years' worth of learning and ensure a minimum return on investment prior to any training. Whether you train the AI yourself or use the models off-the-shelf, the solutions you deploy with docBrain will easily integrate with your business systems. docBrain was created in-house to solve Moonoia’s own document processing challenges created mainly by error-prone and costly manual data validation that was slowing down end-to-end processes, making automation impossible. Market-available OCR technologies were unable to achieve the accuracy levels required for straight-through processing, especially for handwritten, unstructured or low-quality documents.
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MPS IntelliVector
Extract business data from any printed or handwritten document, form, cheque, invoice, email or any other source. Automatically transform unstructured printed or handwritten customer data, into structured, digital, business-ready data. Export the processed business-ready data directly into enterprise systems, databases, LOBs, or business workflows. No matter how much digitization or automation is going on, paper is still used in businesses all over the world. Large companies and organizations still struggle with unorganized paper and digital documents clogging their workflows. Time and money are constantly spent on integrating automated solutions which, in the end, still require internal employees to participate in the processing, lowering overall work efficiency and multiplying processing costs. In the end, companies need to compromise and give up on cost-effectiveness, speed, accuracy or data confidentiality.
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Nirveda Cognition
Make Smarter, Faster & More Informed Decisions. Enterprise Document Intelligence Platform to turn data into Actionable Insights. Our versatile platform uses cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate relevant, timely, and accurate information from your documents. The solution is delivered as a service to lower the cost of ownership and accelerate time to value. How It Works. CLASSIFY. Ingest structured, semi-structured, or unstructured documents. Identify and classify documents based on semantic understanding of language and visual cues. Extract. Extracts words, short phrases, and sections of text from printed, handwritten, and tabular data. Detects the presence of a signature or page annotation. Easily review and make corrections to the extracted data. AI uses human corrections to learn and improve. Enrich. Customizable data verification, validation, standardization and normalization.
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