Automate unstructured data extraction with LLM-native Intelligent Document Processing.
Docyard is a high-performance Intelligent Document Processing (IDP) platform engineered for the 2026 automation landscape. It distinguishes itself by utilizing a multi-model orchestration layer that combines traditional LayoutLM architectures with state-of-the-art Large Language Models (LLMs) like GPT-4o and Claude 3.5 Sonnet. This hybrid approach allows for the extraction of highly nested data from semi-structured and unstructured documents that traditional OCR tools fail to process, such as complex medical records, hand-written legal notes, and multi-page commercial contracts. The technical architecture is built on a microservices framework, enabling horizontal scaling for enterprise-grade throughput. It features a robust 'Human-in-the-Loop' (HITL) interface for validation, ensuring 99.9% data accuracy for high-stakes financial and healthcare workflows. As of 2026, Docyard has introduced native support for multimodal inputs, allowing it to process video-based document scanning and real-time mobile captures with sub-second latency, positioning it as a leader in the autonomous back-office revolution.
Uses semantic understanding to extract fields without needing pre-labeled training data.
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.
AI-Native Intelligent Document Processing for the Autonomous Enterprise.
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Combines visual coordinates with text tokens to maintain structural integrity of complex tables.
Processes low-resolution images and mobile photos with edge-enhancement AI.
Assigns a 0-1 probability score to every extracted field based on cross-model consensus.
Automatically identifies and masks sensitive data during the extraction phase.
Compares two documents to find meaningful differences in clauses rather than just text changes.
Dynamically routes documents to smaller, cheaper models or larger LLMs based on complexity.
Manual entry of thousands of multi-vendor invoices leads to errors and late fees.
Registry Updated:2/7/2026
Underwriters spend hours verifying income from paystubs and tax returns.
Insurance companies need to reconcile treatment codes with policy coverage.