Advanced automation
Many business tasks and processes today require intelligence for execution that is not based on rules. CAPTOS offers advanced capabilities beyond classic rule-based automation to automate complex processes using Machine Learning and Intelligent Document Processing.
Leverage powerful integrated capabilities across the automation life cycle
Built-in Use cases
CAPTOS offers a set of predefined and industry-specific use cases
  • CAPTOS offers a set of predefined and industry-specific use cases whose underlying AI models are already pre-trained with a very large amount of data. With the built-in use cases, CAPTOS users can immediately start extracting data from their own documents and achieve extraction results with high accuracy.

    Both the built-in use cases and the user-definable use cases can be fine-tuned through a variety of configuration options. Invoices, specific pre-supplier invoices for energy suppliers, meter reading captures as well as tax document processing are included with every CAPTOS usage license.
CAPTOS - Built-in use cases
Freely definable use cases
Freely definable use cases allow CAPTOS customers to create, configure and fine-tune their own use cases
  • The underlying AI models are automatically created by CAPTOS without programming. Additional CAPTOS tools assist in the automated training of the created models to minimize the training effort (labeling) and time required to achieve high accuracy in extraction.
CAPTOS - Freely definable use cases
Workflow Studio
CAPTOS Workflow Studio is a visual low-code workflow designer
  • CAPTOS workflow designer comes with predefined steps that allows CAPTOS users to create their own workflows by orchestrating steps via drag and drop. Workflow Studio enables differentiated processing of documents and human interactions for a defined set of documents

    Import, validation, approval or notification steps, for example, can be combined with other steps as often as required. A set of process-typical steps like creating conditions or iterations completes the set of existing process steps.

    Workflows form the interface between intelligent processing of documents and rule-based automation by software robots to extend the automation path and map complex processes - combining both RPA and AI-based IDP technology. Orchestration of software robots is possible via workflows.
CAPTOS - Workflow designer
Humans and machines, hand in hand
  • Human-in-the-loop aims to improve accuracy while maintaining human-level standards of work. Based on the configuration of levels of confidence for each use case and prediction class CAPTOS AI allows humans to step in, intervene via work items and give direct feedback to a prediction below a certain level of confidence. This process results in the creation of a continuous feedback loop. With feedback, CAPTOS algorithms learn and produce better results every time. This leads to improved accuracy of rare data records or safety and precision for critical process tasks.
CAPTOS - Human-in-the-loop
Data correlation
Correlation provides another way to refine the document processing process in CAPTOS
  • Data correlation and data enrichment enable the match of predicted data from a document with a set of data from an external source, such as an ERP or procurement system, according to configured correlation rules. This concept can improve the accuracy of the extracted data by automatically adjusting the predicted data or enriching it with additional data from the external sources. A typical example is the matching of the extracted data from the documents with the data from the ordering system.
CAPTOS - Data correlation
RPA Engine & RPA Designer
Complete processes can be easily and quickly automated
  • The CAPTOS Bot Designer offers more than 1200 predefined activities to automate simple process steps as well as complex workflows, data analysis or report generation. The low-code principle is a core feature of CAPTOS Bot Designer to make automation accessible to everyone without programming.
CAPTOS - Bot Designer
Connector Board
Captos offers a wide range of predefined connectors for seamless connection with external systems
  • As a hyperautomation platform, CAPTOS was developed to combine several automation technologies and disciplines in one platform according to the all-in-one principle. Predefined and freely definable connectors play an important role in seamlessly linking CAPTOS with external systems. Connectors can be used both as input connectors to import data for enrichment or correlation as well as documents into CAPTOS and as output connectors to provision the extracted data to the target system and make it available for processing through further steps. Connectors such as SFTP, SAP or AWS-S3 are available by default in CAPTOS.
CAPTOS - Connector board
Data Labeling Engine
The in-CAPTOS data labeling engine plays an important role in increasing the accuracy of deployed AI models
  • In CAPTOS, "labels" are the categories of data into which the extracted data sets are to be classified. Thus, labels or "classes" are the output on which the AI model is trained. Also, the extraction of data by the AI models returns a label as the output. Labels in CAPTOS can be created both automatically or manually in the labeling area. and are used as the basis for training the use case models. CAPTOS provides integrated labeling in the validation and release steps.
CAPTOS - Data labeling