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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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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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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Tensorlake
Tensorlake is the AI data cloud that reliably transforms data from unstructured sources into ingestion-ready formats for AI applications. It seamlessly converts documents, images, and slides into structured JSON or markdown chunks, ready for retrieval and analysis by LLMs. The document ingestion APIs parse any file type, from hand-written notes to PDFs to complex spreadsheets, performing post-processing steps like chunking and preserving the reading order and layout of the documents. Tensorlake's serverless workflows enable lightning-fast, end-to-end data processing, allowing users to build and deploy fully managed Workflow APIs in Python that scale down to zero when idle and scale up when processing data. It supports processing millions of documents at once, maintaining context and relationships between various data formats, and offers secure, role-based access control for effective team collaboration.
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