Overview
Normain is an Extractional AI platform designed to extract structured insights from unstructured documents with precision and reliability. Unlike conversational AI tools like ChatGPT, Normain focuses on producing verifiable, consistent, and repeatable results from document analysis. The platform enables teams to upload files from various sources (SharePoint, Google Drive, Box, URLs), define what data to extract, and receive insights with transparent source citations.
Built for professional services firms, Normain serves governance, risk, audit, compliance, due diligence, M&A, tax, and sustainability teams. The vendor claims 99% accuracy and 50-80% time savings (methodology not publicly disclosed), making it a powerful AI data analysis tool for organizations that need reliable document intelligence at scale.
Key Features
Multi-Source Document Upload — Seamlessly imports files from SharePoint, Google Drive, Box, and URLs, supporting all major file formats for flexible data ingestion. Web content search features may be in development.
Configurable Extraction Logic — Define custom extraction parameters, analysis rules, and output formats with support for complex logic, regulatory frameworks, and scoring methodologies.
Real-Time Insights with Citations — Extract structured data in minutes with transparent source references, ensuring verifiability and repeatability across document batches.
Enterprise Security & Compliance — ISO 27001 certified with SOC 2 compliance program and GDPR-aligned privacy controls, providing enterprise-grade data protection.
AI-Powered Document Analysis — Leverages advanced AI to understand context, quantify risks, compare trends, and produce structured outputs in table format with export capabilities for further visualization.
Repeatable Extraction Processes — Enables consistent document analysis workflows with quick setup (approximately 10 minutes). Advanced workflow automation features may be in development.
Pricing & Plans
Normain offers a tiered pricing structure based on insights per month, priced in Euros:
- Free: €0/month — 50 insights per month, basic features for individual users testing the platform
- Starter: €129/month — 200 insights per month, suitable for small teams getting started
- Pro: €499/month — 1,500 insights per month, advanced features for growing organizations
- Enterprise: Custom pricing — Unlimited insights with dedicated support, custom integrations, and SLA
Pricing is based on "insights" (extracted data points) per month. Annual billing options are available with discounts. For enterprise needs requiring higher volumes, custom quotas, or API access, contact their sales team for tailored pricing.
Pros & Cons
Pros:
- High accuracy rate (99% claimed by vendor) with verifiable source citations
- Significant time savings (50-80% reported, methodology not disclosed)
- Quick setup (approximately 10 minutes for basic workflows)
- Enterprise-ready with ISO 27001 compliance and SOC 2 program
- Integrates directly into existing business processes
- Supports multiple file formats and storage systems
Cons:
- Free plan has limited insights quota (50 per month)
- Paid plans can be expensive for small teams (starting at €129/month)
- Some advanced features (Workflows, Collaboration) may still be in development
- Steeper learning curve for complex extraction logic and custom rules
Best For
- Compliance and risk management teams analyzing regulatory documents
- Due diligence professionals conducting M&A document reviews
- Audit teams extracting insights from financial reports and spreadsheets
- Sustainability consultants analyzing ESG data from multiple sources
- Legal and governance teams managing policy documentation
- Enterprise organizations requiring verifiable AI agent outputs with source citations
FAQ
What is Extractional AI and how is it different from ChatGPT?
Extractional AI is a form of AI that produces structured, verifiable insights from messy input data. Unlike conversational AI (like AI assistants), which is exploratory and creative, Normain's Extractional AI is verifiable, consistent, repeatable, and reliable—designed specifically for professional document analysis where accuracy matters.
Does Normain offer a free trial?
Yes, Normain offers a Free plan with 50 insights per month, allowing you to test the platform at no cost. This provides basic features suitable for individual users. For higher quotas and advanced features, paid plans start at €129/month.
What file formats does Normain support?
Normain supports all major file formats including documents, spreadsheets, PDFs, and more. It can ingest files from SharePoint, Google Drive, Box, and URLs. Web content search functionality may be in development.
Is Normain secure for enterprise use?
Yes, Normain is enterprise-ready with ISO 27001 certification and an active SOC 2 compliance program (verify current status via their Trust Center). The platform is GDPR-aligned with enterprise-grade data protection and privacy controls.
How accurate is Normain's document extraction?
Normain claims 99% accuracy in extracting insights from documents, though the methodology and measurement criteria are not publicly disclosed. The platform provides transparent source citations, allowing users to verify results and conduct their own accuracy testing.
How long does it take to set up Normain?
According to Normain's claims, basic setup can be completed in approximately 10 minutes. Actual setup time may vary depending on data source complexity, integration requirements, and extraction logic configuration.
Can Normain integrate with existing workflows?
Yes, Normain is designed to fit directly into current business processes. It integrates with common file storage systems like SharePoint, Google Drive, and Box, making it easy to incorporate into existing workflows.
What kind of time savings can I expect with Normain?
The vendor reports that early adopters achieved 50-80% time savings, though specific use cases and measurement methodology are not disclosed. Actual results will vary based on document complexity, extraction requirements, and workflow integration. Consider running a proof-of-concept to validate time savings for your specific use case.