Structured Data Extraction

While Retrieval Augmented Generation (RAG) is great for asking many questions to a single document set, our Structured Data Extraction approach flips the script: asking the same questions to many documents. From legal checklists to financial metrics and invoice parsing, this technique enables scalable, repeatable data workflows. Extracting structured data, however, isn’t easy. It requires domain knowledge, consistent engineering, and trust in AI outputs. Our solution empowers subject matter experts to define what matters, review AI-generated results in an intuitive interface, and integrate them into existing systems. The result: faster insights, fewer errors, and more time for high-value work.