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.
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Pricing
- Free: $0 per month; includes 600 credits per year, help center access, input file upload, web links, table mode, repeat insights, source references, validation, exporting, prompt optimization, and rollover credits.
- Starter: $139 per month; includes 200 credits per month, everything in Free, plus over 500 input pages per month.
- Pro: $539 per month; includes 1,500 credits per month, everything in Starter, plus file storage integration and email support.
- Enterprise: Custom pricing; includes custom credits, everything in Pro, plus dedicated support, SSO, API integration, usage insights and reporting, and publish extractions.
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.
- Enterprise-grade security: SOC 2 Type II, ISO 27001, and GDPR alignment, plus the ability to deploy natively inside a customer’s Azure environment so document data stays within their own cloud.
Use cases
- Risk & Compliance Teams in Financial Services: Using the tool to pull key risk indicators, policy details, and controls from long reports and regulatory documents.
- Audit & Assurance Departments: Applying structured extraction to working papers and client materials to increase consistency across engagements.
- Sustainability & ESG Consultants: Extracting emissions data, targets, and policy language from annual reports, questionnaires, and disclosures.
- Advisory & Management Consulting Firms: Turning proprietary methodologies and templates into repeatable AI workflows for benchmarks and client projects.
- Uncommon Use Cases: Used by private equity and M&A teams to sweep data rooms and vendor reports during due diligence; adopted by benchmarking and research groups to compile structured input for large comparative studies.