“Connect everything and automate it.”
Java-based engine that supports workflow and process automation for integrated automation
Suggest optimal workflow through automatic placement of workflow components
Visually expresses the workflow status and proceeds with the workflow according to the definition
Speed up development of automation processes
Unified automation process monitoring
Greater productivity
Secure multi-channel connectivity
Increased employee capacity
Built-in governance
Strengthen compliance and reduce risk
Providing agility to changes in the business environment
Low-code application development support
Web based environment makes it easy to design an automation workflow
Start automation workflow and business logic
Provide real-time status and information for every step
OCR service optimized for HYPER-AUTOMATION, play a major role in streamlining the process of document handling and reducing costs.
Excellent Recognition rate
Utilizes self-development algorithms using advanced deep learning, with maximum recognition rate 99.2%
Deep Learning-based
Deep learning NLP in conjunction with industry language models improves recognition accuracy
Various Reading Forms
Supports various reading forms; multiple pages, variable documents, checkmark recognition, and more
Evolving OCR
Gradually advance by learning from human-made corrections in the system
Interactive AI optimized for HYPER-AUTOMATION that plays a major role in streamlining and reducing the time required for communication.
Easy, Powerful Platform
Simple visual NLP learning model with visual and intuitive GUI conversation writer support
Enterprise-class Security and Regulations
Enterprise-class security and compliance, including SOC-2 authentication, AES encryption, and data encryption
Open and Scalable Platform
Standard back-end infrastructure components(NodeJS, MongoDB, etc.) enable integration of third-party logic, NLP capabilities, and more
Customers from Various Industries
Use cases of B2C, B2B, and B2E across multiple channels and used by a variety of large customers