Snippet-Based Content
Create modular content pieces that can be reused and nested, allowing for efficient content management and consistent messaging across platforms.
A comprehensive platform for creating, managing, and deploying AI-powered conversational content.
This powerful system uses a unique snippet-based approach, allowing for modular content creation that can be easily reused, modified, and adapted across different contexts and geographical locations.
The dashboard is the central hub for content creation, translation management, infrastructure deployment, and AI
training, enabling organizations to efficiently manage their entire conversational AI ecosystem from a single
interface.
At the heart of our dashboard is a sophisticated snippet-based content management system that
revolutionizes how conversational AI content is created and maintained. Each snippet can contain various types of
content - from text and images to interactive elements like buttons - and can even include other snippets, creating a
flexible, recursive structure. This modular approach allows efficient content reuse while maintaining the ability to
customize for specific contexts or locations.
Content is organized through "content components," which can be selectively applied to different smartbots. This hierarchical structure enables organizations to maintain common base content (such as general health information) while adding location-specific or context-specific content layers. For example, a healthcare bot can share common medical information across regions while incorporating country-specific healthcare guidelines and local resource information.
The system integrates seamlessly with our hybrid translation pipeline, where industry-specific glossaries and contextual guidelines ensure accurate translations. Domain experts review and refine machine-translated content, and their improvements are captured and applied systematically.
Create modular content pieces that can be reused and nested, allowing for efficient content management and consistent messaging across platforms.
Organize content into reusable components that can be shared across multiple bots while maintaining location-specific customizations.
Streamline content translation with integrated glossaries, machine translation, and expert review workflows.
Deploy and manage isolated smartbot instances across various environments, including cloud and on-premises installations.
Monitor and improve AI performance through intent detection analysis and training data annotation.
Test and validate content changes in real-time before deploying to production environments.