Hypatos is a Tier-1 Intelligent Document Processing (IDP) provider that utilizes advanced deep learning and computer vision to automate the extraction and validation of data from complex documents. Unlike traditional template-based OCR, Hypatos employs a 'Deep IDP' architecture that understands the semantic context of document fields, allowing it to handle unstructured data at massive scale. By 2026, Hypatos has positioned itself as the preferred automation layer for Global 2000 companies, specifically targeting high-volume financial workflows like Accounts Payable, Tax Compliance, and Audit. Its technical framework allows for seamless integration into core ERP systems such as SAP S/4HANA and Oracle Cloud, providing end-to-end cognitive automation. The platform focuses heavily on 'autonomous document processing,' where the AI not only extracts data but also validates it against master data and business rules, triggering downstream workflows without human intervention. Its architectural modularity supports both cloud-native and hybrid deployments, satisfying the stringent data sovereignty requirements of regulated industries.
Uses Transformer-based models to locate fields based on context rather than spatial coordinates.
AI-powered platform for end-to-end document intelligence and business process orchestration.
Enterprise-grade Intelligent Document Processing (IDP) powered by Generative AI.
Enterprise-grade multimodal document intelligence and semantic extraction engine.
Automate unstructured data extraction with LLM-native Intelligent Document Processing.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Cross-references extracted data against external databases and ERP records in real-time.
Neural networks trained on 50+ languages including CJK and Arabic scripts.
Assigns a probability score to every extracted field and routes low-confidence items to HITL.
Automatically detects and redacts PII and sensitive data points before storage.
Certified integration modules for SAP S/4HANA, Oracle, and Microsoft Dynamics.
Continuous learning from human corrections to improve extraction accuracy over time.
Manually processing 50,000+ multi-lingual invoices per month with high error rates.
Registry Updated:2/7/2026
Automatic posting to ERP if confidence is >95%.
Delays in shipping due to slow processing of Bill of Lading and Commercial Invoices.
Sifting through years of physical receipts to find deductible business expenses.