# Rossum **Source:** https://geo.sig.ai/brands/rossum-ai **Vertical:** Enterprise Software **Subcategory:** Intelligent Document Processing **Tier:** Challenger **Website:** rossum.ai **Last Updated:** 2026-04-14 ## Summary Prague AI document processing platform for AP, logistics, and finance teams; raised $100M; cognitive data capture understands document context rather than fixed templates, enabling accurate extraction from invoices and trade documents with unfamiliar layouts. ## Company Overview Rossum is a Prague-based AI-native document processing platform founded in 2017 that automates the extraction, validation, and routing of data from business documents including invoices, purchase orders, delivery notes, and customs declarations. The company has raised over $100M in funding and serves enterprise customers in accounts payable, logistics, and financial services who process thousands of documents monthly. Rossum's cognitive data capture technology uses deep learning models that understand document context rather than relying on fixed templates, enabling accurate extraction even from documents with unfamiliar layouts or varying formats. The platform is purpose-built for AP automation and trade document workflows, offering pre-built connectors to ERP systems like SAP, Oracle, and Microsoft Dynamics, as well as a no-code workflow builder for validation rules, approval routing, and exception handling. Rossum's AI engine learns from user corrections over time, continuously improving extraction accuracy for each customer's specific document types. The product also includes a human-in-the-loop review interface where operators can quickly validate flagged extractions, blending automation efficiency with human oversight. Rossum has positioned itself as the document AI layer for mid-market and enterprise finance and operations teams, competing with both legacy OCR platforms and broader intelligent automation suites. Its Czech engineering pedigree, research-backed AI approach, and deep focus on financial document types have earned it recognition as a leading purpose-built solution in the IDP market, with particular strength in European enterprise accounts. ## Frequently Asked Questions ### What document types does Rossum process? Rossum specializes in invoices, purchase orders, delivery notes, customs declarations, and other financial and logistics documents. ### Does Rossum integrate with ERP systems? Yes. Rossum has pre-built connectors for SAP, Oracle, Microsoft Dynamics, and other major ERP and accounting platforms. ### How does Rossum's AI improve over time? Rossum's AI learns from operator corrections during human-in-the-loop review, continuously improving extraction accuracy for each customer's document types. ### What is Rossum and what does it automate? Rossum is an AI-native document processing platform focused on automating business-critical document workflows, particularly in accounts payable and supply chain. It extracts data from invoices, purchase orders, and other transactional documents with high accuracy and integrates processed data into ERP and AP systems. ### How does Rossum's AI handle varying invoice layouts? Rossum uses a neural network trained on millions of invoice and document examples to understand document structure without template configuration. The AI can extract fields from invoices with layouts it has never seen before, making it adaptable to new suppliers and document formats automatically. ### What ERP and AP systems does Rossum integrate with? Rossum integrates with SAP, Oracle, Microsoft Dynamics, Coupa, Basware, and many other ERP and AP automation platforms. Extracted invoice and PO data flows directly into these systems for matching, approval, and payment processing. ### Does Rossum support three-way matching for invoice processing? Yes. Rossum can facilitate three-way matching (invoice against purchase order and goods receipt) by extracting relevant line item data from documents and passing it to the downstream AP system for automated matching rules. This accelerates invoice approval and reduces manual matching work. ### How does Rossum handle exceptions and human review? Rossum routes low-confidence extractions and mismatched documents to human reviewers through a validation interface. Reviewers can correct extractions and approve documents before they advance in the workflow. Corrections feed back into the AI to improve future performance on similar documents. ## Tags ai-powered, automation, fintech, enterprise, saas, b2b, scaleup, europe, platform, supply-chain --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*