Conva AI

Introduction to Conva.AI

Conva.AI is an innovative AI Assistant platform developed by Slang Labs, enabling developers to seamlessly integrate conversational AI capabilities into mobile and web applications. By leveraging a low-code, meta-prompt-based approach, Conva.AI simplifies the process of adding voice and text-based AI interactions without requiring specialized expertise in machine learning or prompt engineering. This platform empowers businesses to enhance user engagement through intuitive, multilingual, and multimodal AI assistants.

Key Features of Conva.AI

• Low-Code Integration: Utilize a meta-prompt system to define AI assistant capabilities, reducing the need for complex coding.
• Multilingual Support: Built-in translation features allow assistants to understand and respond in multiple languages, broadening user accessibility.
• Pre-Trained Voice Assistants: Access domain-specific, pre-trained voice assistants that can be easily customized to fit your application’s needs.
• Multi-Turn Conversations: Enable users to engage in extended dialogues, enhancing the conversational experience.
• Custom Knowledge Grounding: Integrate external knowledge sources to provide accurate and contextually relevant responses.
• Comprehensive SDKs: Implement assistants across various platforms, including Android, iOS, Flutter, and web applications, using platform-specific SDKs.

How to Use Conva.AI

1. Sign Up: Create an account on Magic Studio, the web console provided by Conva.AI, to access the platform’s features.
2. Define Capabilities: Use natural language to describe the desired functionalities of your AI assistant, such as answering user queries or performing specific actions.
3. Customize Outputs: Review and adjust the automatically generated output structures to ensure they align with your application’s requirements.
4. Compile and Publish: Utilize the platform’s LLM-based compiler to convert capability blueprints into micro-agents, then publish the assistant for integration.
5. Integrate SDKs: Implement the assistant into your application using the provided SDKs, connecting to the Conva.AI runtime orchestration layer for seamless operation.
6. Test and Refine: Use the Magic Studio playground or Conva.AI Playground App to test the assistant, ensuring it functions as intended before going live.

Pricing Plans

Conva.AI offers a range of pricing plans to accommodate different business needs:

• Starter Plan: Free trial for up to 1,000 Monthly Slang Users (MSUs) per month, including voice search support in English and filters for retail, grocery, FMCG, and medicines.
• Growth Plan: Priced at ₹5.00 per MSU per month, this plan includes unlimited voice users, support for multiple languages (English and Hindi), custom item name recognition, and basic voice usage analytics.
• Enterprise Plan: Custom pricing tailored to specific business requirements, offering advanced features such as multi-turn conversational design, multimodal disambiguation support, and dedicated account management.

Frequently Asked Questions

• What is Conva.AI? Conva.AI is a low-code platform developed by Slang Labs that allows developers to easily integrate conversational AI assistants into their applications without requiring specialized knowledge in AI or machine learning.
• How does Conva.AI work? Developers define assistant capabilities using natural language meta-prompts, which are then compiled into micro-agents. These agents are integrated into applications via SDKs, enabling voice and text-based interactions.
• What platforms does Conva.AI support? Conva.AI provides SDKs for various platforms, including Android, iOS, Flutter, and web applications, ensuring broad compatibility across devices.
• Is Conva.AI suitable for non-technical users? Yes, the platform’s low-code approach and intuitive interface make it accessible to product managers and developers without deep technical expertise.
• What industries can benefit from Conva.AI? Industries such as e-commerce, banking, insurance, and healthcare can leverage Conva.AI to enhance customer engagement through conversational AI assistants.