Document Analysis
scalenow AI helps businesses extract reliable insights from large text volumes by delivering accurate, contextually relevant answers, minimizing misinformation, and saving time.
The architecture adapts to unique business needs, streamlining workflows and enabling strategic focus.
By combining retrieval and generative techniques scalenow AI enhances decision-making and efficiency, setting a new standard for information extraction.
scalenow AI focuses on delivering factually accurate and contextually relevant answers. This precision minimizes misinformation, streamlines workflows, saves time, and enables teams to focus on strategic goals rather than manual data processing.
Capabilities of scalenow AI
Advanced Citation and Document Preview
By default, scalenow AI ensures the accuracy of the answers generated by the large language model (LLM) through detailed citations.
These citations help verify the information provided by the AI, offering transparency and reliability. Here’s how this feature works in more detail:
Detailed Citations: Every answer produced by the LLM is accompanied by a citation that points directly to the source document or specific content that contributed to the response. These citations typically include the title of the document, the specific section or page number, and a snippet of the relevant text. This ensures that users can trace back the AI’s answers to the exact part of the document it was derived from.
Document Preview: Users can view the citations in the browser's built-in PDF viewer, making it easy to examine the full context of the document from which the information was pulled. In this viewer, scalenow AI highlights the content in the document that was used to generate the answer. The highlighted sections provide visual cues that help users quickly locate the information being referenced.
Relevance Warnings: To further enhance the quality of the interaction, scalenow AI includes a feature that issues warnings when the retrieved content is deemed less relevant to the question or when there is uncertainty about the answer's accuracy. These warnings alert the user that the information provided may not be fully accurate or pertinent, encouraging them to review the source material or refine their query for more precise results.
This citation and content review process helps ensure that scalenow AI provides high-quality, reliable answers, empowering users to trust the system’s outputs and verify them with ease.
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Improved Decision-Making, Increased Productivity
Improved Decision-Making with In-Depth Insights: scalenow AI's support for complex reasoning means that users can ask intricate, multi-step questions that require the system to analyse multiple pieces of information and draw connections between them.
This feature is especially valuable in industries such as legal, finance, healthcare, and research, where professionals need to synthesize data from various sources to make informed decisions. By breaking down complex queries into smaller, manageable steps (question decomposition), scalenow AI can provide more precise and relevant answers, aiding in more informed decision-making processes.
Increased Productivity and Efficiency: Complex or multi-hop questions often require manual research and cross-referencing of multiple documents, which can be time-consuming.
With scalenow AI’s ability to perform question decomposition and reason through these multi-step queries, businesses can save significant time by automating this process.
Instead of manually looking for answers across numerous documents or databases, employees can simply ask scalenow AI the complex questions and get accurate, comprehensive responses quickly, boosting productivity and reducing the time spent on research tasks.
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Support for Advanced Use Cases
Many industries, such as pharmaceuticals, law, and technology, require complex analysis that involves reasoning across large datasets and documents.
For example, in the pharmaceutical industry, researchers may need to query scientific papers, clinical trial reports, and regulatory guidelines all at once to extract relevant information for drug development. In legal services, scalenow AI can assist in navigating complex regulations and case law to answer multifaceted legal questions.
The ability to break down these complex queries allows businesses to tap into previously difficult-to-access insights quickly and efficiently.
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scalenow AI algorithm interacts using business language to read, interpret, extract and analyse text and data efficiently, far exceeding human capacity.
- Chat with recent documents
- Chat with uploaded document
- Chat with the selected document
- Select the document
- RAG Option with LLM
- Upload document for analysis
- Chat interface
- Summary of text from document
- Panel to list Document
- Relevance or accuracy of score.1 high, 10 lowest
- Emotion indicator
