Aluma
Aluma is a cloud-native intelligent document processing platform that automates document classification, data extraction, and content management workflows.
Overview
Aluma provides document automation capabilities for organizations processing high volumes of documents across industries including defense, finance, healthcare, and pharmaceuticals. The platform handles document separation, classification, data extraction, redaction, and validation through a combination of OCR, machine learning, and automation technologies. Aluma's cloud-native architecture is designed to scale processing capacity on demand while maintaining data security by not storing or retaining customer documents.
Key Features
- OCR/ICR: Text extraction from scanned documents and images
- Document Separation: Automated splitting of multi-document files
- Classification: Content-based categorization of document types
- Data Extraction: Targeted location and retrieval of specific data fields
- Redaction: Identification and removal of sensitive information
- Barcode Recognition: Reading of linear and 2D barcodes for document routing
- Validation Web UI: Interface for document review and quality assurance
- Analytics Dashboard: Performance monitoring and processing metrics
Use Cases
Pharmaceutical Supply Chain Automation
Pharmaceutical distributors process certificates of analysis, packing slips, and shipping documentation from global suppliers. Aluma classifies incoming documents by type, extracts batch numbers and expiration dates, and validates information against purchase orders. In a documented implementation, the system achieved 83% automated field extraction and 96% overall accuracy, reducing manual data entry in logistics operations.
High-Volume Invoice Processing
Accounts payable departments handle invoices from thousands of vendors in varying formats. Aluma separates multi-invoice PDF files, classifies documents by vendor and invoice type, and extracts key fields including invoice number, date, amount, and line items. The platform integrates extracted data with ERP systems while routing exceptions for review.
Records Management and E-Discovery
Legal and compliance teams digitize physical records and process electronic files for case management. Aluma performs OCR on scanned documents, classifies files by document type and matter, redacts privileged or sensitive information, and organizes content for searchability. Analytics track processing volumes and quality metrics across document collections.
Technical Specifications
| Feature | Specification |
|---|---|
| Deployment | Cloud-native, subscription-based |
| Uptime | claimed 99%+ availability |
| Scale | Processes millions of documents |
| Integration | API, SDK, automation tool connectors |
| Data Security | No document storage or retention by Aluma |
| Configuration | Minimal setup for complex document types |
Getting Started
Aluma offers a trial program allowing organizations to test the platform with their own documents. Contact their team through the website to discuss implementation requirements and access trial credentials.
Resources
Company Information
Contact: Contact Page
