Rossum.ai
Rossum is an intelligent document processing platform that leverages artificial intelligence to automate the capture, extraction, and processing of data from various business documents, focusing on end-to-end automation of transactional document workflows.
Overview
Rossum provides an AI-powered platform designed to transform how organizations handle document-intensive processes. Their technology combines advanced OCR (Optical Character Recognition), machine learning, and artificial intelligence to automate the processing of business documents such as invoices, purchase orders, and other transactional documents.
Founded in 2017 in Prague, Czech Republic, by Tomáš Gogar, Petr Baudiš, and Tomáš Tunys, Rossum was created with the vision of revolutionizing document automation [1]. The company has since secured significant funding, including a record $100 million Series A round from General Catalyst, bringing their total funding to $104 million [2]. Rossum has been recognized as a Leader in the IDC MarketScape: Worldwide Intelligent Document Processing Software 2023-2024 Vendor Assessment [3].
Rossum serves a diverse range of businesses dealing with high volumes of documents, including organizations in logistics, manufacturing, financial services, and retail. Their solutions are particularly valuable for accounts payable departments, procurement teams, and other business units that process large quantities of transactional documents from multiple sources and in varying formats.
Key Features
- AI-Powered Data Extraction: Automatic recognition and extraction of data from documents without templates
- Cognitive Document Processing: Understanding document context and structure without pre-defined rules
- Multi-Format Support: Processing capabilities for various document types and formats
- Validation Workflow: User-friendly interface for reviewing and correcting extracted data
- Integration Capabilities: Pre-built connectors for ERP, accounting, and RPA systems
- AI Agents: Intelligent reasoning for complex document workflows
- Master Data Hub: Centralized management of company data and business rules
- Automated Decision Making: Smart routing and processing based on document content
- Multi-Channel Document Reception: Email, API, and portal upload options
- Performance Analytics: Insights into document processing efficiency and quality
Products
Rossum Platform
The Rossum platform is a comprehensive solution for intelligent document processing that combines AI-powered data extraction with workflow automation. It features workspaces and document queues for organizing processing tasks, customizable business rules for validation and routing, and a Master Data Hub for maintaining reference data [4]. The platform's AI agents provide intelligent reasoning capabilities, enabling more sophisticated automation of document-related processes. Rossum's technology excels in accuracy compared to other data extraction solutions, targeting a 90% increase in document processing speed for users [5].
AI OCR Solution
Rossum's AI OCR solution goes beyond traditional optical character recognition by incorporating cognitive capabilities that understand document context. Unlike conventional OCR, which typically requires templates for each document layout, Rossum's technology can recognize information in documents with layouts it has never seen before [6]. This out-of-the-box AI comes pre-trained to understand hundreds of thousands of invoice templates, ensuring highly accurate data extraction from day one while continuously improving through machine learning [7].
Rossum Aurora
Rossum Aurora is the company's advanced AI engine designed to manage all types of transactional documents. It handles invoices, purchase orders, bills of lading, goods receipt notices, certificates, and other business documents with high accuracy and efficiency [8]. Aurora represents the cutting edge of Rossum's intelligent document processing capabilities, incorporating the latest advancements in artificial intelligence to improve automation rates across diverse document types.
Use Cases
Automated Invoice Processing
Finance departments implement Rossum to streamline accounts payable operations. The system captures incoming invoices from multiple channels, including email attachments, supplier portals, and scanned documents. AI-powered data extraction automatically identifies and captures key invoice data such as header information, line items, tax amounts, and payment terms. Validation workflows allow for quick review of extracted data, with AI highlighting potential issues or discrepancies. Integration with ERP systems enables automated posting of validated invoice data to accounting systems. Approval workflows route invoices to appropriate stakeholders based on business rules. This implementation reduces manual data entry by up to 90%, accelerates invoice processing cycles from days to minutes, improves data accuracy through consistent extraction methodology, and enhances visibility through comprehensive processing analytics.
Purchase Order Management
Procurement teams leverage Rossum to automate the processing of purchase orders and related documents. The system captures incoming purchase orders from suppliers and automatically extracts key information including order numbers, item details, quantities, and pricing. AI capabilities match purchase orders with corresponding invoices and goods receipts for three-way matching. Validation workflows enable quick verification of data accuracy and resolution of discrepancies. Integration with procurement systems ensures seamless data flow and process continuity. This approach accelerates order processing through automated data extraction, improves accuracy through intelligent matching algorithms, enhances supplier relationships through faster response times, and provides better visibility into procurement operations through centralized document management.
Logistics Document Processing
Logistics and transportation companies implement Rossum to process shipping documents efficiently. The system captures and processes bills of lading, shipping manifests, customs declarations, and delivery notes from various sources. AI-powered extraction identifies key logistics data such as shipment details, container numbers, product information, and destination addresses. Validation workflows enable quick verification of critical information to ensure compliance and accuracy. Integration with transportation management systems ensures seamless data flow throughout the logistics chain. This implementation reduces document processing times by up to 74% as demonstrated by Evologics [9], improves data accuracy through consistent extraction methodology, enhances compliance through systematic document verification, and provides better visibility into shipment status through centralized document management.
Technical Specifications
| Feature | Specification |
|---|---|
| Deployment | Cloud-based SaaS platform |
| AI Technology | Deep learning, neural networks, computer vision |
| Document Types | Invoices, purchase orders, bills of lading, packing lists, etc. |
| Supported Formats | PDF, JPEG, PNG, TIFF, and other image formats |
| Data Export | JSON, XML, CSV, direct API integration |
| Integration Methods | REST API, pre-built connectors, Zapier |
| Processing Capacity | High-volume capabilities for enterprise use |
| Language Support | Multiple languages and character sets |
| Security | SOC 2 compliance, data encryption, role-based access |
| Accuracy | Continuous improvement through machine learning |
Integrations
Rossum offers extensive integration capabilities, connecting with popular ERP, accounting, and RPA systems to enable seamless document processing workflows. The platform provides certified out-of-the-box connectors and custom integration options [10], including:
- SAP: Certified integration for seamless document processing within SAP environments
- NetSuite: Built-in connector to improve efficiency by automating end-to-end invoice processing workflows [11]
- Coupa: Certified integration with the Coupa Business Spend Management platform [12]
- Sage: Connection with Sage accounting software for streamlined financial document processing
- RPA Tools: Integration with RPA platforms for extended process automation
- Zapier: Connection with thousands of apps through the Zapier platform [13]
- Custom Integrations: API-based custom integrations for specialized business systems
Getting Started
- Requirements Analysis: Assessment of document processing needs
- Platform Configuration: Setup of document types and extraction fields
- Integration Setup: Connection with existing business systems
- Validation Workflow Design: Creation of efficient review processes
- User Training: Knowledge transfer for platform operators
- Go-Live and Optimization: Launch and continuous improvement
Resources
Contact Information
- Website: rossum.ai
- Headquarters: London, United Kingdom
- Founded: 2017
- Funding: $104 million
