Secure and reliable services to global clients
We demonstrate our commitment to information security by certifications from both international and domestic authorities.
Secure and reliable services to global clients
We demonstrate our commitment to information security by certifications from both international and domestic authorities.
Secure and reliable services to global clients
We demonstrate our commitment to information security by certifications from both international and domestic authorities.
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.
Security and Compliance
Security Certificates
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Achieving SOC 2 compliance demonstrates that Laiye has established robust internal controls and practices to ensure the secure and reliable handling of customer data.
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Laiye RPA has successfully obtained ISO/IEC 27001 certification, demonstrating our alignment with international best practices. This achievement affirms our ability to manage information security risks effectively, and reinforces our commitment to delivering secure, reliable services to customers around the world.
Difference between types
floating authorization
binding machine
foating authorization
Difference between community and enterpise versions
Paradigm Shift in RPA Development
No security flaw
Every Laiye product is developed with a core principle of security and reliability. We uphold this principle throughout all developments, including automated vulnerability scanning and penetration testing. To further ensure the integrity of our products, we submitted releases for top-tier security review by Veracode and passed the certification. Before each major release, we conduct static code analysis, third-party dependency scanning, dynamic analysis, and anti-malware scanning. All detected vulnerabilities are reviewed, prioritized, and resolved. Once validated and remediated, all official Laiye products, including activity packages, are subjected to rigorous testing and come with validated reports on authenticity and integrity. We apply the same level of scrutiny to our partner and open-source packages to ensure a safe, trustworthy ecosystem.
Support multiple domestic IT innovation platforms
Automation Commander now fully supports deployment on Huawei Kunpeng CPUs running Linux with an official technical certification. In addition, Laiye RPA has passed compatibility testing by the Financial IT Innovation Ecosystem Lab, meeting all compliance and deployment requirements for the financial industry’s domestic IT infrastructure.
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.