Smart Evidence Extraction
SEE the Difference. Trust the Evidence
Instantly Find, Suggest, Extract and Link Supporting Reference Evidence.
Designed for research professionals faced with time-consuming and error-prone data extraction processes, Smart Evidence Extraction (SEE) is a human-in-the-loop solution that uses purpose-built GenAI to reduce the time to extract data and improve the auditability of their reviews with linked evidence.
Increased Reviewer Productivity
Streamline the extraction process by finding, suggesting, extracting, and linking evidence, enabling reviewers to save time.
Intelligent Evidence
Synthesis
Leverage GenAI capabilities to provide sentiment analysis and text summarization of reference sources.
Context-aware Responses
Get more accurate answers and suggestions you need through a composite AI model that pre-processes reference PDFs to reduce GenAI creative responses.
Responsible AI Development
Adherence to the NIST AI Risk Management Framework ensures that all AI models used by DistillerSR are trustworthy, reliable, and meet the highest ethical standards.
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