Create embodied AI characters with voice, knowledge and actions for games, training and virtual environments using Convai.
Convai helps creators and developers build conversational AI characters for games, virtual worlds and interactive training. A character combines a defined role and knowledge with speech and behaviours in an environment. The platform supports both embodied avatars and characters without a visible body, depending on the experience being built.
Creators begin with the character’s identity, role and objectives. Knowledge documents provide information the character should use, while narrative tools help shape how an interaction progresses. Convai also describes multimodal perception, allowing a character to respond to voice and visual context rather than text alone.
Voice selection, lip synchronisation and animation features connect the conversational system to an avatar. The official site advertises more than 65 languages and over 500 voices. The actual voice, language and feature availability should be tested in the intended deployment, particularly when a training scenario depends on precise terminology or consistent pronunciation.
Developer integrations include Unity, Unreal Engine and web-oriented tools such as Three.js and PlayCanvas. APIs, plugins and documentation support embedding characters into custom applications. Developers can connect actions and animation sequences so a character does more than answer a question, but those actions must be defined and tested within the host environment.
The published use cases include role-play learning, brand representatives and social virtual worlds. These are different deployment contexts with different requirements. A training character needs accurate scenario content and an appropriate review process, while a game character may prioritise narrative behaviour and player interaction.
Convai offers a free starting route and paid plans for larger use, with enterprise discussions for additional deployment needs. The live pricing interface did not expose a reliable complete rate card during this review, so current quotas should be checked in the account before committing to a launch. Build a small scene, test dialogue and actions together, and measure latency and concurrent use. Generated character responses still need boundaries appropriate to the audience and purpose of the application.
