SparkChat SDK is designed to streamline the creation of AI-powered chat interfaces within existing software ecosystems. It offers a modular architecture with ready-to-use frontend widgets, SDK clients for JavaScript, iOS, and Android, and flexible backend connectors to popular LLM providers. Developers can define conversation flows and intents using JSON schemas or a visual flow editor, apply custom NLU models, and integrate user data stores for personalized responses. Real-time message streaming via WebSocket ensures low-latency interactions, while configurable moderation filters and role-based access control maintain compliance and security. Built-in analytics track user engagement metrics, session durations, and fallback rates, empowering optimization of dialog strategies. The SDK scales horizontally to support millions of concurrent conversations, facilitating deployment in customer support, e-commerce, education technology, and virtual assistant applications.

Protofy provides a comprehensive toolkit for rapid development and deployment of AI-driven conversational agents. Leveraging advanced language models, it allows users to upload documents, integrate APIs, and connect knowledge bases directly to the agent’s backend. A visual flow editor makes it easy to design dialogue paths, while customizable persona settings ensure consistent brand voice. Protofy supports multi-channel deployment via embeddable widgets, REST endpoints, and integrations with messaging platforms. Real-time testing environment offers debug logs, user interaction metrics, and performance analytics to optimize agent responses. No coding skills are required, enabling product managers, designers, and developers to collaborate efficiently on bot design and launch prototypes in minutes.