Normain

Normain focuses on “Extractional AI” that turns messy document sets into structured, verifiable data. It targets teams in governance, risk, audit, compliance, and due diligence that need repeatable, source-backed answers instead of one-off chat responses. Users define what data they care about, then run that extraction logic across PDFs, spreadsheets, slide decks, and links at scale.

What is Normain? Normain focuses on “Extractional AI” that turns messy document sets into structured, verifiable data. It targets teams in governance, risk, audit, compliance, and due diligence that need repeatable, source-backed answers instead of one-off chat responses. Users define what data they care about, then run that extraction logic across PDFs, spreadsheets, slide decks, and links at scale. Key Features: Extractional AI engine: Converts unstructured inputs into structured fields, tables, and classifications, using large language models that are guided by explicit extraction rules rather than open-ended prompts. Cross-document analysis: Handles large batches of PDFs, Excel files, PowerPoints, and web links, so users can compare entities, periods, or portfolios instead of reading one file at a time. Source-level traceability and validation: Every extracted data point links back to the exact document, page, and paragraph, with clear statuses for validated, uncertain, or missing values. Reusable workflows and templates: Once experts define an extraction setup, it can be cloned and reused across clients, data rooms, or recurring reporting cycles. Connectors and exports: Integrates with common storage such as SharePoint and Google Drive and exports structured outputs into spreadsheets or downstream systems for further analysis.