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Laiye
Laiye offers work execution systems and intelligent automation solutions. Its solutions include intelligent automation platforms, intelligent document processing, conversational artificial intelligence (AI) chatbots, and more. The company was founded in 2015 and is based in Beijing, China.
Laiye Platform harnesses the power of automation, artificial intelligence, and analytics to streamline workflows and accelerate your digital transformation journey. It empowers your organizations to move forward with agility, fueled by more intelligent decision-making.
The Platform covers a wide range of components you'll need in the journey, including Discovery, Building, Execution, Management and Collaboration. We partner with you on this journey with our own unified intelligent automation platform, enabling a hybrid-workforce of human and digital workers.
Our solutions are simple, quick, and flexible. You can piece together a solution with multiple components from our platform, leveraging them to fulfill your work.
Improving RPA Development Efficiency, Maintainability and Extensibility
Magic Hat for Robotic Process Automation (RPA) is designed to significantly improve RPA development efficiency, maintainability, and extensibility. It enables developers to generate RPA snippets, comments and plugins using natural language. With this advanced tool, businesses can streamline the automation development process, reduce the time and effort required to deploy automation solutions, and enhance the overall maintainability of automated workflows.
Laiye Intelligent Document Processing (IDP) enables recognition, classification and extraction of data from different types of documents like PDFs, images or Emails.
Laiye Conversational AI is a powerful enterprise-level dialogue robot (Chatbot) development platform with minimum coding requirements. Based on its deep learning natural language processing engine and powerful enterprise-level application management system, it offers a one-stop dialogue building capability that achieves seamless docking of different interaction modes to meet the needs of building dialogue robots. Applications include chatbots for business scenarios such as employee service, intelligent marketing, intelligent customer service, etc. in diverse industries. At the same time, it is capable of meeting the needs of different enterprise-level AI application management layers.