Execute the automation process anywhere
Runtime of intelligent automation process of different types, including attended robots and unattended ones.
Execute the automation process anywhere
Runtime of intelligent automation process of different types, including attended robots and unattended ones.
Execute the automation process anywhere
Runtime of intelligent automation process of different types, including attended robots and unattended ones.
What is robotic process automation (RPA)?
The evolution of AI, especially large language model (LLMs) significantly influnces the development of RPA. Besides serving the as the executing role, AI can offer the orchestration, governance, and security assurance for deployment of enterprise-grade intelligent automation.
What is intelligent document processing (IDP)?
Six Core Capabilities of IDP
Core advantages
Leading performance
Powered by dual engines, semantic understanding via LLMs and Laiye’s proprietary OCR, our solution delivers top-tier recognition accuracy, even in complex scenarios.
Enterprise-grade securityCertified by international standards such as ISO/IEC 27001, ensuring 99.9% system reliability and data security.
Agile and intelligent
Zero-shot document processing, with closed-loop collaboration across departments. Human feedback fuels continuous self-learning and iteration.
Open and integrated
Natively integrated with RPA. Seamless API/MCP connectivity with 50+ business systems and AI applications for end-to-end intelligent document handling.
Automation Worker
Record operations on computer and generate process description
Digital Workers Come at any time
.svg){kind=icon}
With effective orchestration, robots can execute the automation process all the time, without a break, and achieve timely response and effective support for business.
.svg){kind=icon}
With UI automation as well as API automation, all systems and technologies can be integrated together and provide seamlessly service for business .
.svg){kind=icon}
All process data can be recorded in logs, including timestamp, actions and data of critical importance, improving data auditability to a new level.
Difference between types
floating authorization
binding machine
foating authorization
Difference between community and enterpise versions
Paradigm Shift in RPA Development
.png)
Flexible and scalable licenses
We provide node-locked robot and floating robot on demand. The former one needs to be activated with "Activation Code", requiring no network connection; the latter one can be activated with floating license shared by different accounts. The solutions are flexible, scalable and customized to your needs.
.png)
Deployment to your needs
You can deploy multiple automation workers on one computer and multiple processes will be executed simultaneously with no interference, which maximizes utilization rate of hardware and being cost-effective.
.png)
Multiple trigger methods enabled
You can schedule your robots in advance and trigger them at anytime by click, email, file, chatbot or API call.
Shadow mode execution
Run automation workflows in parallel with human operations on the same machine, ensuring data sharing without interference. Shadow instances are automatically launched with the process and terminate upon completion. It is fully compatible with major enterprise Windows versions, and also supports running multiple workflows concurrently.
Differences between SaaS Version & On-premise Version
Differences among different types
Differences between community & enterprise versions
Differences between community version & enterprise version
RPA in the future
RPA will continue to be a core tool in enterprise digital transformation. By leveraging low-code platforms, it lowers the development barrier and enables cross-system task automation. Its non-intrusive nature allows for seamless integration with legacy systems, ensuring execution of complex workflows. Meanwhile, containerization drives its evolution toward cloud-native architecture, enhancing collaboration with API-based automation.
Digital Worker Builder: Enables graphical configuration of AI Agents with complex decision-making capabilities to support advanced automation scenarios.
Agent Interaction Hub: Integrates MCP technology to provide standardized system interfaces, allowing business users to directly trigger automation processes.
Cognitive Automation Upgrade: Combines large language models to enable natural language interaction, document comprehension, and intelligent decision-making.
Employee Empowerment: Frees human resources from repetitive tasks (e.g., monthly report preparation in finance accelerated by 40x), allowing focus on higher-value work.
Human-AI Collaboration: Enables natural language interaction through chatbots and smart forms, automatically triggering manual intervention when exceptions (like invoice issues) arise.
Democratized Automation Skills: Empowers business users to build automation workflows independently, with a low-code approach validated by an 800,000-strong developer community.
RPA center of excellence
The RPA center of excellence (CoE) is a cross-functional team that consolidates best practices in RPA deployment, standardizes data interfaces and operation models, and drives enterprise-wide automation at scale.
For the enterprise: Enhances operational decision-making, unlocks data value, and reduces the cost of repetitive tasks.
For employees: Empowers staff to develop RPA skills, boosting productivity and creativity.
IDP in the future
Driven by large language models, semantic understanding of documents evolves toward decision-making analysis, enabling a closed-loop decision cycle, from clause impact analysis, cost simulation, to actionable recommendations.
Enables joint analysis of text, images, and tables to generate actionable business insights. Breaking the limitations of single-modal processing, it builds an integrated analysis pipeline, from documents to seals, signatures, and data tables.
Connects with enterprise data asset management platforms to accelerate the structuring of data resources (“into the table”). Builds a value chain from document data, to asset valuation, and to business insights.