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.
• 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.

Pros

• High trust in outputs: Citation-first design and validation workflows support audit trails and internal review, which matters for regulated teams.
• Built for domain experts: Interfaces and terminology are aimed at risk, audit, and sustainability professionals, reducing dependence on prompt engineers or data scientists.
• Serious time savings: Marketing claims of 50–80 percent time saved on document review match the product’s focus on repeatable extractions rather than ad hoc questions.
• Scales across projects: Reusable setups let firms apply the same logic to new clients or portfolios without rebuilding from scratch every time.
• Strong security posture: Certifications and Azure-native deployment appeal to enterprises with strict data-governance requirements.

Cons

• Requires upfront configuration: Defining extraction schemas and rules takes more initial effort than simply “asking a chatbot,” even if the payoff is higher reliability.
• Narrow focus: Outstanding for document-heavy, regulated workflows, but less suitable for creative writing or broad exploratory use.
• Limited public pricing detail: Beyond the free entry point, detailed plan pricing is not prominently published and usually requires talking to sales.

Who Uses It

• 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.

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.