Conversational AI avatars Train. Coach. Welcome.

Completely. Every aspect of the AI avatar is configurable to match your brand identity and specific training objectives. Appearance: choose from a diverse library of characters or commission a custom 3D avatar modelled on your company's visual identity. Voice: select from dozens of voices across genders and accents, or integrate a branded voice synthesised from recordings. Tone and personality: define the avatar's communication style — formal or casual, supportive or challenging, structured or improvised. Role and expertise: each avatar embodies a specific domain — HR manager, sales coach, customer service representative, technical trainer — and is populated with your own content and scenarios. Avatar Academy gives your training teams direct access to create, modify and deploy new avatars without any technical skills. Everything is white-label and fully integrated into your existing learning ecosystem.

The AI analyses multiple layers of communication simultaneously to generate a real-time emotional intelligence report. At the vocal level, the system measures tone, pitch variation, speech pace, volume changes and hesitation markers — all indicators of confidence, stress and emotional state. At the lexical level, natural language processing evaluates word choice, sentence structure, use of hedging language and empathy markers. The system then calculates scores across four dimensions: confidence (assurance of delivery and conviction), stress (signs of anxiety or discomfort), empathy (recognition and adaptation to the interlocutor's emotional state), and assertiveness (directness and clarity of communication). Results are displayed instantly after each interaction in a dashboard accessible to the learner, coach or HR manager. Over multiple sessions, trend analysis reveals genuine behavioural progress — not just performance on a single day.

Yes, and this is one of the most impactful deployment scenarios for an AI avatar. Mei, for example, is specifically designed for physical reception contexts. She can be deployed on a touch kiosk, large-format screen, interactive terminal or reception desk tablet — with no specialist hardware required beyond a standard computer with a screen and microphone. Visitors interact with her naturally, either by speaking directly or typing. She can welcome visitors, direct them to the right department or person, answer frequently asked questions about your company, collect arrival information and notify the appropriate contact by email or internal messaging. Multilingual from the start — she automatically detects the visitor's language from the first words — Mei is particularly suited to international environments, trade shows, training centres, museums and corporate headquarters. Deployment and content updates require no technical skills.

Yes — and this is what truly sets VRAI apart from other AI avatar providers. While most platforms deploy conversational avatars on a flat 2D screen, VRAI integrates them natively into fully immersive VR environments. Learners enter a virtual reality scenario — a factory floor, a hospital ward, a negotiation room — and interact verbally with an AI avatar as if facing a real interlocutor. The combination of sensory immersion and real conversational interaction creates a level of psychological realism that flat-screen simulations simply cannot match. Research consistently shows that emotional engagement, stress mimicry and behavioural transfer are significantly higher in VR than in 2D training. The avatar runs on the same VRAI LMS infrastructure as all other training modules, so all session data, emotional analytics and assessment scores feed into your existing reporting. One platform, one report, maximum impact.

Over 62 languages are supported natively, with automatic language detection from the first words spoken. The AI avatar identifies the learner's or visitor's language in real time and seamlessly switches without any intervention — no menu selection, no language preference setting required. This makes the avatar immediately usable by multinational teams, international visitors or diverse customer bases without any configuration per user. In practice, this matters most in three contexts: multilingual reception (a single avatar can serve French, English, Spanish, Dutch and Arabic-speaking visitors without staff intervention), international workforce training (one avatar deployment covers all your regional offices), and customer-facing applications in sectors like transport, hospitality and retail. Language detection works across all interaction modes — voice, text, or both — and is particularly robust for European languages, Arabic, Mandarin, Japanese and major Latin American Spanish variants.

No technical skills are required. Avatar Academy is specifically designed for the teams who actually run training, HR and internal communications programmes — not for IT departments. The platform works through an intuitive no-code interface: you define the avatar's personality and areas of expertise through a guided setup, import your scenarios and content directly (scripts, Q&A pairs, knowledge documents), and configure the interaction logic without writing a single line of code. Deployment is equally straightforward: generate a deployment link, embed a widget on your intranet or LMS, or push to a physical kiosk — all from the same dashboard. Analytics and reporting are also self-serve: track session volumes, completion rates, average scores and emotional analytics trends with no data science expertise required. A typical training manager can go from initial setup to live deployment within a single working day.

A chatbot answers questions via structured text, often following decision trees. A conversational AI avatar is embodied — it has an appearance, a voice, a personality, and engages in real spoken conversation, with emotion analysis and real-time adaptation. The difference between an interactive FAQ and a simulated human interlocutor.

Via SCORM, xAPI (Tin Can) and LTI connectors. Session data — skills assessed, scores, emotional analytics — flows directly into your learning management system. No parallel infrastructure required.

Soft skills training (negotiation, management, conflict resolution), employee onboarding, customer reception on kiosks or screens, interview preparation, sales simulations, real-time passenger information. The AI avatar adapts to any context where conversational practice is key.

A coaching AI avatar like Marcus simulates real situations — a difficult conversation, an annual review, a conflict — and provides immediate, personalised feedback after each exchange. Unlike a human coach, the avatar is available 24/7, judges no one, and adapts the difficulty to each learner's level. Emotional analytics (confidence, stress, assertiveness) give the coach or manager concrete data to track progress over sessions.