ABBYY Timeline

A cloud-based process intelligence platform that discovers, analyzes, monitors, predicts, and simulates business processes. It automatically builds digital twins of workflows from system event logs and desktop user interactions to identify bottlenecks and optimization opportunities.

First-party excerpt: ABBYY Timeline is a cloud-based process intelligence platform featuring advanced process discovery, analysis, monitoring, simulation, and task mining.

Automatically visualizes end-to-end business process flows by extracting event log data from enterprise systems and analyzing desktop user interactions to map current process execution.

First-party excerpt: ABBYY Timeline allows businesses to discover and visualize their business-wide process execution by examining their system data and analyzing desktop user interactions.

Monitors process execution in near real-time with customizable alerts for deviations, enabling continuous performance insight and triggering automated responses via email, BPM calls, or RPA bots.

First-party excerpt: Monitor real-time execution: Timeline can monitor process execution in near real-time to give you continuous performance insight and prevent process deviations.

Uses machine learning to predict process outcomes and enable prescriptive analytics for identifying and addressing process flow deviations in real-time.

First-party excerpt: Predict events: Get accurate predictions for your process outcomes, and make your processes more efficient, using machine learning technology to save time, money, and labor.

Enables simulation and testing of potential process improvements before implementation to evaluate business impact and reduce deployment risk.

First-party excerpt: Simulate changes: With our process simulation tool, Timeline enables you to simulate potential changes in a process and evaluate their impact on your entire business, before implementation.

ABBYY's pioneering OCR technology that has evolved since 1993 from character recognition to full document understanding including layout, multi-page structure, and adaptive document recognition.

ABBYY's enterprise document capture and processing solution for automating invoice processing and other document workflows.

ABBYY's marketplace enabling integration of LLMs and RAG (Retrieval-Augmented Generation) with ABBYY's document processing solutions.

ABBYY's recognition server solution extending document recognition capabilities to enterprise applications like e-discovery suites.

ABBYY's computer vision integration using CNNs and transformers for intelligent document processing, enabling identification and classification of text, images, barcodes, signatures, and stamps from complex documents.

ABBYY's pre-trained deep learning approach using CNNs, RNNs, and NLP to extract information from semi-structured documents, achieving up to 90% accuracy out of the box and handling unseen layouts without templates.

ABBYY's lightweight machine learning approach that uses clustering technology to quickly learn from minimal document examples (1-2 samples), focusing on textual and visual patterns with lower CPU requirements and faster processing times.

ABBYY's core platform combining multiple AI technologies (OCR, ML, NLP, computer vision) to automate document processing across any format, language, and structure for business process automation.

ABBYY's NLP capabilities including named entity recognition, deep machine learning, and summarization for extracting structured data from documents and identifying sensitive information for compliance.

ABBYY's open-source machine learning framework supporting over 100 neural network layer types and 20+ traditional ML algorithms, compatible with Windows, Linux, macOS, iOS, and Android with ONNX format support.

ABBYY's advanced optical character recognition and intelligent character recognition leveraging CNNs, transformers, and language models to recognize and process both printed and handwritten text across multiple languages and formats.

A cutting-edge multimodal AI model combining CNNs for visual data processing with RoBERTa language model for text comprehension, offering zero-shot key/value pair extraction from documents without manual model training.

ABBYY's process intelligence capability that helps enterprises make data-driven improvements by analyzing and optimizing business processes.

Analyzes desktop user interactions and desktop recording data to identify repetitive, inefficient tasks and link user behavior with process details for targeted improvement.

ABBYY's enterprise document processing platform with customizable NLP capabilities for recognizing named entities and extracting data from structured and unstructured documents with transparency and user control.

A deployable OCR/ICR engine embedding ABBYY's text recognition technology into third-party applications and systems for document processing automation.

A platform providing data-driven insights into business processes through analysis of process mining, event logs, and operational data to identify inefficiencies and improvement opportunities.

An intelligent document processing platform that leverages NLP, deep machine learning, and fast machine learning to extract structured data from both structured and unstructured documents with customizable named entity recognition and summarization capabilities.

Precise, reliable data extraction and validation from documents to power business decision-making, ensuring accuracy and quality of extracted information.

Document-specific AI models using CNNs, RNNs, and NLP that are pre-trained for document processing tasks, achieving up to 90% accuracy out of the box and over 95% when combined with fast ML. Requires 500-10,000 labeled documents for training.

API for integrating advanced text recognition and document processing capabilities into applications and automation workflows with minimal code.

Automatically sorts, divides, and organizes incoming documents using AI-powered classification and splitting capabilities.

Seamlessly capture any document from any source for processing in ABBYY's IDP platform.

Document-focused ML approach that works with minimal training data (1-2 documents per set) using clustering technology to group similar document layouts and train field extraction models per cluster, optimized for speed and low CPU consumption.

Measures the impact and business value of intelligent document processing programs, providing ROI and performance metrics.

Purpose-built AI document processing platform for efficient business process automation, including document input, OCR/ICR, classification, splitting, extraction, and validation across any document format and language.

Optical character recognition and handwriting/ICR technology for reliable, accurate text and handwriting extraction from documents, using CNNs, transformers, and language models based on ABBYY's 30+ years of OCR research.

Pre-built analysis tools within ABBYY Timeline that enable detailed process understanding and insights for optimization opportunities.

Automatically builds an interactive digital twin of business processes based on actual event log data. Enables end-to-end process visualization to identify inefficiencies and bottlenecks.

Monitors processes in real-time to detect problems and enable actionable insights for process improvement and corrective action.

Advanced AI capability that predicts possible adverse outcomes in business processes, enabling proactive risk management and decision-making.

Uses historical process data to build a digital twin that allows organizations to simulate and evaluate potential process changes before implementation.

Data-driven insights and analytics to increase straight-through document processing rates and measure IDP quality and performance.

Connects external knowledge sources to LLMs to achieve greater accuracy and quality in GenAI outputs, providing AI-ready document data for context-grounded LLM responses.

Desktop recording and user interaction analysis capability that pinpoints repetitive or inefficient tasks by linking behavior data with process details.

Advanced analysis capability with 25+ built-in analysis tools and extensive filtering functionalities to understand process behavior, identify bottlenecks, and evaluate performance metrics.

A hybrid approach platform that combines Document AI and GenAI capabilities for intelligent document processing and automation.