CONVA Features
CONVA is a low-code, meta-prompt based platform for easily adding AI-powered voice and text assistants to apps with multilingual support and quick deployment.
View MoreKey Features of CONVA
CONVA is a low-code, meta-prompt based platform for easily adding AI Assistants to apps. It offers a hosted environment for creating, deploying, and managing AI Assistants with capabilities defined through simple descriptions. The platform features easy integration, multi-lingual support, custom knowledge grounding, and a full-stack solution including ASR, TTS, and testing tools.
Low-code Integration: Allows developers to add AI Assistants to apps within 30 minutes using platform-specific SDKs and simple integration processes.
Meta-prompt Capability Definition: Enables creation of Assistant capabilities through simple descriptions, without requiring deep data science knowledge.
Custom Knowledge Grounding: Supports grounding AI responses with additional knowledge at both capability and parameter levels, using various file formats.
Multi-lingual Support: Offers built-in translation to handle non-English inputs, making the Assistant multi-lingual even if the app is not.
Prompt Compilation: Uses a state-of-the-art MultiAgentic LLM compiler to generate and maintain optimal prompts, eliminating the need for manual prompt engineering.
Use Cases of CONVA
E-commerce Voice Assistant: Integrate a voice-driven conversational search and product recommendation system into e-commerce apps for easier and faster shopping experiences.
In-app Customer Support: Implement an AI-powered assistant to handle customer queries and provide support within various types of applications.
Voice-enabled Task Management: Add voice command functionality to productivity apps for hands-free task creation, scheduling, and management.
Multilingual Travel Assistant: Create a voice-activated travel guide and translator for tourism apps, leveraging the multi-lingual capabilities of CONVA.
Pros
Rapid development and integration of AI Assistants
No deep AI or data science expertise required
Flexible deployment as copilot or inline component
Comprehensive toolkit including ASR, TTS, and testing tools
Cons
Potential limitations in highly specialized or complex use cases
Dependency on third-party platform for critical app functionality
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