Accurately understands user intent and extracts key information.
Replies in much the same way personnel express themselves, making the conversation more natural.
Stable and Reliable
Handles semantic uncertainties and allows users to add a corpus for more scenarios.
Easy of Use
Provides the easy-to-use GUI and APIs, eliminating the need of downloading SDKs or purchasing VMs; supports cross-platform API calling.
Uses semantic understanding technologies such as voice recognition and task-oriented conversational bot in the call center system to enable the bot to automatically make outgoing calls. Typical application scenarios include service satisfaction surveys, reminders, scheduling of on-site interviews, and information on promotions.
Allows you to flexibly configure the dialog process based on the actual service scenario. The bot performs intelligent dialogs based on user replies and identifies and records customers' intentions.
Promptly optimizes the dialog process based on user feedback, which significantly improves the overall user experience.
Works with intelligent voice interaction technologies, such as ASR, TTS, and IVR to serve as the phonebot for a call center in specific business scenarios to implement obstacle-free communications between bots and users.
Intelligent Hardware Control
Allows users to control hardware devices through voice or natural language interaction, such as setting alarms, controlling home devices, and operating smart speakers.
Allows you to create new skills within a few minutes using task-oriented dialog engines.
Helps you perform intelligent device control with the device voice wakeup module required by intelligent hardware and ASR and TTS modules and semantic understanding and skill modules on the cloud.
Software Voice Interface
Adds a voice interaction interface to the software system or mobile app layout. Integrates the voice interaction interface and other man-machine interfaces (such as screens and pointing devices) to yield a multi-modal interactive experience.
Uses leading algorithms to accurately understand the speaker's intentions, extracts key information, and triggers corresponding actions of enterprise software or apps.
Automatically manages the multi-round dialog status and reminds speakers of missing information required for the dialog if necessary.
Users can add multiple intentions, define multiple slots, add more corpus, and re-train and deploy the robot with just a few clicks on the service interface.
The engine provides complete dialog management capabilities, the ability to track multiple rounds of dialog, and supports status tracing, strategy selection, and automatic generation of dialog records.
Tuning is completed in no time with the automated option. After adding a corpus or retraining a model, you can easily verify the effect of the changes.