Conva.AI

Conva.AI is an AI Assistant-as-a-Service platform that lets product and engineering teams add conversational AI capabilities to their apps without building an entire LLM stack from scratch. It combines three pieces: Magic Studio, a web-based workspace where creators define assistants and their agents using Meta Prompts; platform SDKs for integrating those assistants; and a cloud orchestration service that handles context, routing, and model selection at runtime.

The core idea is that an assistant should turn unstructured input into structured output the app can act on. Each agent behaves like an AI function that reads a user query and returns well-defined JSON parameters. Those parameters can drive visual actions such as navigating screens or showing search results, direct actions such as spoken or written replies, or a mix of both. Assistants can appear as a conversational overlay or run quietly behind the scenes inside existing screens.

The orchestration layer manages conversation context, routes requests to the correct agent, augments prompts with retrieval, picks an appropriate LLM, and returns processed responses. Developers can start with a description of what an agent should do, and Magic Studio generates an editable blueprint including topics, parameters, and example utterances. SDKs are available across multiple platforms, with headless and copilot-style UI options for different integration needs.