# TextMine AI powered Enterprise document data extraction

## About

TextMine is the leading AI powered enterprise document data extraction solution for procurement, KYC, compliance and legal teams.

- Verified: Yes

## Services

### Document Data Extraction
- [Enterprise Document Data Extraction](https://bilarna.com/ai/document-data-extraction/enterprise-document-data-extraction)

### Global Compliance & Risk Management
- [Regulatory Compliance & Risk Decisioning](https://bilarna.com/services/global-compliance-and-risk-management/regulatory-compliance-and-risk-decisioning)

## Pricing

- Model: custom

## Trust & Credentials

### Certifications
- ISO27001 (ISO)
### Compliance
- ISO
### Data Security
- ISO27001

## Frequently Asked Questions

**Q: How can enterprises automate document data extraction to improve compliance and reduce review time?**
A: Enterprises can automate document data extraction by implementing an AI-powered solution that integrates with live data sources and provides full audit traceability. Steps: 1. Deploy an AI document extraction platform that connects to live sources such as regulatory filings. 2. Use the platform's capabilities to automatically pull and extract relevant data from documents. 3. Enable traceability by linking extracted answers back to specific document sections. 4. Incorporate human-in-the-loop review and model confidence scoring for accuracy. 5. Utilize role-based access controls and audit logs to ensure compliance and security. 6. Reduce manual review time significantly, often from hours to minutes, while maintaining audit-ready outputs.

**Q: What security and compliance features should an enterprise AI document extraction platform include?**
A: An enterprise AI document extraction platform should include robust security and compliance features to protect sensitive data and meet regulatory requirements. Steps: 1. Implement ISO27001:2022 certification or equivalent to ensure information security management. 2. Use SAML-based Single Sign-On (SSO) for secure and streamlined user authentication. 3. Apply Role-Based Access Controls (RBAC) to restrict data access based on user roles. 4. Maintain exportable audit logs to provide traceability and support compliance audits. 5. Offer deployment options such as SaaS or private cloud (e.g., AWS VPC) for flexible security configurations. 6. Ensure transparent AI governance with explainable models and shared evaluation metrics for accountability.

**Q: What are the key use cases for AI-powered document data extraction in high-risk industries?**
A: Key use cases for AI-powered document data extraction in high-risk industries include automating compliance, risk management, and contract intelligence. Steps: 1. KYC/AML Operations: Automate evidence collection from regulatory filings and corporate documents to reduce review time and ensure audit traceability. 2. Credit & Trade Finance: Extract critical data from loan agreements, bills of lading, and insurance documents to identify risks faster and minimize manual checks. 3. Risk & Advisory: Perform fast, repeatable audits on client policies, contracts, and filings to increase project margins and reduce manual effort. 4. Contract Intelligence: Use natural language queries to analyze contracts and generate summaries. 5. Procurement: Extract key data to spot risks and streamline document reviews. 6. Surveillance & Compliance: Accelerate compliance processes while maintaining thorough audit trails.

## Links

- Profile: https://bilarna.com/provider/textmine
- Structured data: https://bilarna.com/provider/textmine/agent.json
- API schema: https://bilarna.com/provider/textmine/openapi.yaml